{"cells":[{"cell_type":"markdown","metadata":{"cell_id":"4f4e6721631b4ea58fc4a1df9a54a4ca","deepnote_cell_type":"markdown"},"source":["# CAP5619 - AI for FinTech \n","#### Spring 2023\n","#### Final - Research Project\n","#### Brandon Doey & Dr. Pieter De Jong"]},{"cell_type":"markdown","metadata":{"cell_id":"3a950082bf7e4fbbb494f6e62cd06367","deepnote_cell_type":"markdown"},"source":["## BNPL Credit Worthiness ML application"]},{"cell_type":"markdown","metadata":{"cell_id":"1279428969b84bb6843a313fcbc0e3f2","deepnote_cell_type":"markdown"},"source":["### 1 - Problem Statement\n","BNPL is primarily geared toward populations with limited banking access and low credit scores. A common credit application could require a few days and the actual interaction could ward off possible borrowers. Our team wanted to investigate the feasibility of a more expeditious credit check for potential lenders and hypothesized the following: \n","H1: Can a machine learning algorithm provide an instantaneous credit check with given user inputs?\n","H2: Which of the applicable machine learning models has the highest accuracy?\n","\n","At the time of the midterm submission, we found strong evidence in support of H1 and were able to establish that a XGBoost model (Chen & Guestrin, 2016) with given features could provide an almost instantaneous credit check for any potential borrower with 89.13% accuracy. Our goal for the final project was to find compelling evidence in support of H2 and we determined that the Keras Sequential model has an even higher accuracy score (98.07%). \n","\n","Ultimately, we will be able to predict a client's creditworthiness in real time through a Gradio (Gradio, 2023) application. The client will be presented with two distinct outcomes based on their inputs at the final stage. Either they will be given a loan, or they will be referred to a web-based financial education application.\n"]},{"cell_type":"markdown","metadata":{"cell_id":"b0d20f8a8b5343bc8adee6a9674da41e","deepnote_cell_type":"markdown"},"source":["### 2 - Literature\n","Buy Now Pay Later (BNPL) is a kind of short-term financing that lets people pay for goods and services over time without having to worry about interest. Splitting a transaction into short-term installments is possible because BNPL does not charge interest. It may also be beneficial to merchants by making it simpler and less expensive for customers to purchase their goods. This is in addition to providing customers with flexibility and accessibility. This is especially helpful for smaller businesses that want to compete with larger retailers that offer financing options like this. BNPL can be a good option for customers who have little or no credit history because some providers do not require a credit check or a high credit score to be approved.\n","\n","We used a synthetic version of the very popular \"All Lending Club loan data\" dataset which is roughly 400MB in size (George, n.d.) to determine creditworthiness with a machine learning application. Since the data contained all the parameters and features necessary to determine creditworthiness, we decided to utilize the same data from the midterm in the final project. The goal for the project is to provide BNPL services for underbanked populations, i.e., Generation Z and millennials. Over the past few years, digital shopping websites have become more and more popular with millennials, indicating that these customers are very familiar with digital transactions. It will be affected by the small number of customers who have not yet adopted BNPL services. Current BNPL users are more likely to use mobile phone digital wallets to buy now and pay later. Mastercard, Visa, and American Express are just a few of the major credit card issuers investing in installment solutions and developing their own BNPL applications in response.\n","\n","Even though banks and regulators need to step in to make this growing market segment even more sustainable, we are hoping that our BNPL application will positively impact it. There have been new developments in this field despite the absence of regulation in the United States. BNPL is becoming more and more popular in established online retail markets. In addition, they are forming alliances with established BNPL providers to broaden the scope of their credit options and meet the growing demands of customers. Virtual lease to-possess models, card-connected portion choices, incorporated shopping applications, and bigger ticket plays are instances of retail market plans of action (Garcia Alvarez, 2021). BNPL advances have expanded altogether and are expected to do so further from now on. More borrowers had paid a late fee, according to the most recent data from 2022, and more than 70% of applicants had been approved for credit (Buy Now, Pay Later: Trends in the market and how they affect people, 2022). They may also increase the likelihood of overextension because of their increased reliance on third-party data tracking. Due to loans, borrowers may obtain multiple loans from the same lender. Additionally, excessive use of the BNPL business model for months or years (Buy Now, Pay Later:) may have an impact on customers' ability to meet non-BNPL obligations. Trends in the market and how they affect people, 2022).\n"]},{"cell_type":"markdown","metadata":{"cell_id":"6d8cd1555f994d9c91938f8275659d49","deepnote_cell_type":"markdown"},"source":["### 3 - Modeling Type and Technique\n","\n","Our project focuses on using the Keras Sequential model, a powerful deep learning technique that can accomplish various tasks such as prediction, classification, and regression, to analyze the creditworthiness of potential borrowers. The model follows a linear stack of layers, where each layer carries out a specific function on the input data and passes the results to the following layer. This adaptable architecture allows for the addition or removal of layers as needed.\n"," \n","To start, we prepped the data to ensure that it was in the appropriate format for input into the model. We then partitioned the data into training and validation sets and used a portion of the data to train the model. During the training phase, the model adapts its parameters to reduce the difference between the anticipated and actual outputs, thereby minimizing the error between the predicted and actual outputs.\n"," \n","To find the best values for different model parameters, such as the learning rate, number of epochs, and batch size, we used techniques to adjust hyperparameters. Additionally, we utilized methods to prevent overfitting, which occurs when the model is too complex and only memorizes the training data instead of learning from it.\n"," \n","After completing the training process, we evaluated the model's performance by assessing it on the validation set and made necessary adjustments to enhance its accuracy. Once we were satisfied with the model's performance, we deployed it to predict the creditworthiness of potential borrowers in real-time using a Gradio application.\n"," \n","The Sequential model considers various borrower features, including employment status, income, credit history, and other pertinent details, to make predictions about the eligibility of a potential borrower for a BNPL loan. Each layer in the model carries out a unique function to process this information, resulting in a quick and almost instantaneous credit check.\n"," \n","We believe that the Keras Sequential model is a robust deep learning technique that can be used for multiple tasks, including creditworthiness prediction in our project. Through our training process and fine-tuning of hyperparameters and regularization methods, we were able to achieve high accuracy in real-time predictions of borrower eligibility for BNPL loans. Our project highlights the potential of deep learning techniques for credit analysis and decision-making in financial institutions.\n","\n","\n","#### How does Keras Sequential Modeling work?\n","The Keras Sequential model is an implementation of a feedforward neural network (FNN) built on top of TensorFlow, where each layer in the network has a single input and a single output. These networks are known as multilayer perceptrons (MLPs) or deep FFNs. \n","\n","##### Feedforward Neural Networks\n","Like most neural networks, FNNs consist of layers, each containing multiple neurons. However, as an FNN, Keras Sequential’s implementation of the neurons in these layers differs from traditional NNs. Each layer decreases the total number of neurons until the final output layer, which has a single neuron corresponding to the output of the model. The following is a description of the Keras sequential layers:\n","- Input Layer\n","    - Receives the input features. The number of nodes in this layer corresponds directly to the dimensionality of the input data.\n","- Hidden (Dense) Layers\n","    - Our model has four hidden layers, which are responsible for extracting features from the input data. The number of neurons decreases successively, allowing the network to learn a hierarchy of features and representations (Keras Team).\n","    - Each hidden layer uses the Rectified Linear Unit (ReLU) activation function, which helps the network learn the non-linear relationships between the input and output.\n","    - Keras Sequential can use dense, convolutional, or recurrent layers as its hidden layers. Our approach uses dense layers, since we have no need for image, sound, or language processing.\n","- Output Layer\n","    - This is the last layer of the model, containing a single neuron, and produces the output with a sigmoid activation function.\n","\n","A standard FNN is a type of NN in which the connections between nodes do not form a loop (DeepAI, 2019). Instead, the information in a FNN moves only in one direction, from the input layer, through the hidden layers, to the output layer. This linear flow of information is why they are referred to as feedforward networks.\n","\n","One of the key challenges faced by our team in the implementation of Keras Sequential is that our implementation was required to be a deep neural network, but our original trimmed data set was relatively simple. The simplicity of our data set meant that added layers for deep learning were not able to produce an increase in the accuracy of the model. By adding features back to our data set, the deep Keras sequential model was able to learn more complex relationships in the data than our ensemble model was able to achieve.\n","\n","##### Activation Functions\n","Our implementation makes use of two activation functions.\n","- Rectified Linear Unit (ReLU)\n","    - The neurons receive a weighted sum of the input data. Neurons in the dense layers of our model apply the ReLU activation function. This function will either pass the input value itself if it is positive or pass 0 if it is negative.\n","    - ReLU introduces non-linearity, which helps the network model complex relationships in the data (Ramachandran et al., 2017).\n","- Sigmoid\n","    - The sigmoid activation function maps its input value to a value between 0 and 1. This function is used to produce the final output of the model.\n","    - Given that our problem was a binomial classification problem, sigmoid is well suited for our output.\n","\n","##### Loss Function\n","Our model uses binary cross-entropy for its loss function. This loss function is commonly used for binomial classification problems such as our loan repayment problem (Godoy, 2022). Binary cross-entropy measures the difference between the predicted probability distribution and the true probability distribution of the binary outcome. Through this, we can account for the confidence of each prediction rather than simply accounting for the number of correct predictions.\n","\n","##### Optimizer\n","Our model uses the Adam optimizer. Adam is a binary cross-entropy loss function and is an extension of the stochastic gradient descent (SGD) optimizer. Like SGD, Adam updates the weights of the neural network based on the gradients of the loss function with respect to the weights. However, Adam incorporates adaptive learning rates and momentum, which can improve the speed and stability of the training process when compared to traditional SGD.\n","\n","##### Conclusion\n","\n","Keras’ Sequential Model proved to be a better neural network approach in completing our project over our previous Extreme Gradient Boosting (XGBoost). Keras has the framework that enabled us to construct and train our neural networks with higher accuracy at 98.07% compared to our accuracy score of 89.5% using XGBoost. The interpretation to how we received such higher accuracy was due to the ability of Keras becoming more effective when it came to learning complex relationships within the inputted data. Whereas XGBoost is well suited to structured data, our data proved otherwise to be complex and non-linear in nature.\n","\n","A few challenges we came across when running our model was it took longer to train over XGBoost, especially with large datasets like taking in different demographics on loan information. This can be mitigated by using certain hardware like GPUs or TPUs which none of our classmates had the specialty tools to run it on. We did fortunately have time on our hands and the ability to fail fast using other neural network models to test our theory as well as effectiveness rates.\n","\n","Neural networks in general are considered highly scalable. They can handle very large data sets. So, if new input data were to arise in our case to add more to our demographics, this would not be a challenge at all due to the fact that we have the ability to increase the number of layers within our model which in turn would increase the complexity in the relationships in the data.\n","\n","The Keras model makes use of two activation functions, the ReLU function for neurons in the dense layers and the sigmoid function for the output layer. The model uses binary cross-entropy for its loss function, which measures the difference between the predicted probability distribution and the true probability distribution of the binary outcome. \n","\n","Our dataset using XGBoost from our midterm was considered small, since we took another approach with our final project, we thought to add more data which we found to show a small decrease in performance with the previous model. We then did some testing on other models and concluded that Keras is better suited for tasks that are unstructured that involve images, audio, and text.\n"," \n","As a result, the Keras Sequential Model is a deep learning technique that can be used for various tasks, including creditworthiness prediction, as demonstrated in our final project. We put an emphasis on the importance of training and fine tuning the model to achieve the highest level of accuracy in real-time predictions of borrower eligibility for BNPL loans. We believe our project highlights the potential of deep learning techniques for credit analysis and can make a big impact within financial institutions and our everyday lives."]},{"cell_type":"markdown","metadata":{"cell_id":"54865657b4f94152b7106328cdcc2a03","deepnote_cell_type":"markdown"},"source":["### 4 - Implementation\n","\n","4.1  Import all packages\n","\n","4.2  Read data\n","\n","4.3  Create an instance of the classifier\n","\n","4.4  Train the classifier\n","\n","4.5  Check on the training set and visualize performance\n","\n","4.6  Compute the prediction according to the model\n","\n","4.7  Test and Validate \n","\n","4.8  Check on the test set and visualize performance\n","\n","4.9  Compute the evaluation metrics - accuracy, precision, recall, F1-score\n","\n","4.10 Compute the confusion matrix - sensitivity & specificity \n"]},{"cell_type":"markdown","metadata":{"cell_id":"23b827a7551f40c098e340aa2f65055c","deepnote_cell_type":"markdown"},"source":["### 4.1 Import all packages"]},{"cell_type":"code","execution_count":1,"metadata":{"cell_id":"f40c69702d2947f8b9be15740e9b9f2b","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":3060,"execution_start":1682337423021,"source_hash":"aa155cb0"},"outputs":[{"name":"stderr","output_type":"stream","text":["2023-04-24 11:57:03.873642: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F AVX512_VNNI FMA\n","To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n","2023-04-24 11:57:03.985033: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n","2023-04-24 11:57:03.989543: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n","2023-04-24 11:57:03.989559: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n","2023-04-24 11:57:04.012018: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","2023-04-24 11:57:04.557109: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory\n","2023-04-24 11:57:04.557168: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory\n","2023-04-24 11:57:04.557174: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n"]}],"source":["#import all necessary packages\n","import os\n","import pandas as pd\n","import numpy as np\n","from sklearn.model_selection import train_test_split\n","from sklearn.preprocessing import MinMaxScaler\n","from sklearn.metrics import classification_report, confusion_matrix\n","from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_curve, roc_auc_score, confusion_matrix\n","from sklearn import metrics\n","import tensorflow as tf\n","from tensorflow.keras.models import Sequential\n","from tensorflow.keras.layers import Dense, Dropout\n","from tensorflow.keras.metrics import Precision, Recall\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import warnings\n","warnings.filterwarnings('ignore')"]},{"cell_type":"markdown","metadata":{"cell_id":"7cb677cf016b4a79b0d5c4334626b23d","deepnote_cell_type":"markdown"},"source":["### 4.2 Read Data"]},{"cell_type":"code","execution_count":2,"metadata":{"cell_id":"8567e802be7f41e69096430dbf546481","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":2605,"execution_start":1682337426084,"source_hash":"71fe6f50"},"outputs":[{"name":"stdout","output_type":"stream","text":["X_train shape: (361891, 81)\n","y_train shape: (361891,)\n","X_test shape: (113091, 81)\n","y_test shape: (113091,)\n","X_val shape: (90473, 81)\n","y_val shape: (90473,)\n"]}],"source":["#read in the clean csv file\n","df = pd.read_csv('/work/loan_data_clean_dnn.csv')\n","\n","# turn all columns to int type\n","loan_data = df.astype(int)\n","\n","# drop loan_status from loan_data and assign to X\n","X = loan_data.drop('loan_paid', axis=1)\n","y = loan_data['loan_paid']\n","\n","\n","# split X and y into training and testing sets\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n","\n","# Split the training set into training and validation sets\n","X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=42)\n","\n","# Print the shapes of the datasets\n","print('X_train shape:', X_train.shape)\n","print('y_train shape:', y_train.shape)\n","print('X_test shape:', X_test.shape)\n","print('y_test shape:', y_test.shape)\n","print('X_val shape:', X_val.shape)\n","print('y_val shape:', y_val.shape)"]},{"cell_type":"markdown","metadata":{"cell_id":"ff5fa061d61b4c9b81d52cc7f523641a","deepnote_cell_type":"markdown"},"source":["### 4.3 Create an instance of the classifier"]},{"cell_type":"code","execution_count":3,"metadata":{"cell_id":"72f2a6f32c6d4dc69e3e5726306395e6","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":337,"execution_start":1682337428693,"source_hash":"6a411a08"},"outputs":[{"name":"stdout","output_type":"stream","text":["(361891, 81)\n","(113091, 81)\n","(90473, 81)\n","2023-04-24 11:57:08.967314: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory\n","2023-04-24 11:57:08.967346: W tensorflow/stream_executor/cuda/cuda_driver.cc:263] failed call to cuInit: UNKNOWN ERROR (303)\n","2023-04-24 11:57:08.967363: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (p-15617cbb-2604-4e67-8d7c-8506cee32e96): /proc/driver/nvidia/version does not exist\n","2023-04-24 11:57:08.967623: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F AVX512_VNNI FMA\n","To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"]}],"source":["#add a scaler and verify the data\n","scaler = MinMaxScaler()\n","\n","X_train= scaler.fit_transform(X_train)\n","X_test = scaler.transform(X_test)\n","X_val = scaler.transform(X_val)\n","\n","print(X_train.shape)\n","print(X_test.shape)\n","print(X_val.shape)\n","\n","model = Sequential()\n","model.add(Dense(units=78,activation='relu'))\n","model.add(Dense(units=39,activation='relu'))\n","model.add(Dense(units=19,activation='relu'))\n","model.add(Dense(units=8,activation='relu'))\n","model.add(Dense(units=4,activation='relu'))\n","model.add(Dense(units=1,activation='sigmoid'))\n","\n","model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy', Precision(name='precision'), Recall(name='recall')])"]},{"cell_type":"markdown","metadata":{"cell_id":"5e9550f1944b4ac0b3e029b624659bb4","deepnote_cell_type":"markdown"},"source":["### 4.4 Train the classifier"]},{"cell_type":"code","execution_count":4,"metadata":{"cell_id":"4bbab971b09f44229bd1d3b3125e708c","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":55472,"execution_start":1682337429031,"source_hash":"95a6f037"},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/40\n","707/707 [==============================] - 2s 2ms/step - loss: 0.2730 - accuracy: 0.9168 - precision: 0.9434 - recall: 0.8755 - val_loss: 0.1514 - val_accuracy: 0.9524 - val_precision: 0.9568 - val_recall: 0.9416\n","Epoch 2/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.1293 - accuracy: 0.9564 - precision: 0.9502 - recall: 0.9575 - val_loss: 0.1172 - val_accuracy: 0.9587 - val_precision: 0.9447 - val_recall: 0.9693\n","Epoch 3/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.1126 - accuracy: 0.9590 - precision: 0.9535 - recall: 0.9596 - val_loss: 0.1168 - val_accuracy: 0.9567 - val_precision: 0.9330 - val_recall: 0.9785\n","Epoch 4/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.1048 - accuracy: 0.9609 - precision: 0.9554 - recall: 0.9617 - val_loss: 0.1029 - val_accuracy: 0.9615 - val_precision: 0.9489 - val_recall: 0.9708\n","Epoch 5/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0987 - accuracy: 0.9624 - precision: 0.9575 - recall: 0.9627 - val_loss: 0.1013 - val_accuracy: 0.9606 - val_precision: 0.9684 - val_recall: 0.9475\n","Epoch 6/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0942 - accuracy: 0.9634 - precision: 0.9591 - recall: 0.9632 - val_loss: 0.0902 - val_accuracy: 0.9654 - val_precision: 0.9637 - val_recall: 0.9629\n","Epoch 7/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0890 - accuracy: 0.9653 - precision: 0.9614 - recall: 0.9648 - val_loss: 0.0886 - val_accuracy: 0.9653 - val_precision: 0.9559 - val_recall: 0.9712\n","Epoch 8/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0854 - accuracy: 0.9668 - precision: 0.9640 - recall: 0.9654 - val_loss: 0.0839 - val_accuracy: 0.9671 - val_precision: 0.9657 - val_recall: 0.9646\n","Epoch 9/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0829 - accuracy: 0.9678 - precision: 0.9659 - recall: 0.9656 - val_loss: 0.0826 - val_accuracy: 0.9681 - val_precision: 0.9604 - val_recall: 0.9724\n","Epoch 10/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0812 - accuracy: 0.9683 - precision: 0.9669 - recall: 0.9655 - val_loss: 0.0804 - val_accuracy: 0.9686 - val_precision: 0.9698 - val_recall: 0.9635\n","Epoch 11/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0797 - accuracy: 0.9688 - precision: 0.9678 - recall: 0.9657 - val_loss: 0.0841 - val_accuracy: 0.9672 - val_precision: 0.9540 - val_recall: 0.9778\n","Epoch 12/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0775 - accuracy: 0.9699 - precision: 0.9689 - recall: 0.9669 - val_loss: 0.0866 - val_accuracy: 0.9663 - val_precision: 0.9830 - val_recall: 0.9449\n","Epoch 13/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0769 - accuracy: 0.9700 - precision: 0.9693 - recall: 0.9668 - val_loss: 0.0777 - val_accuracy: 0.9695 - val_precision: 0.9694 - val_recall: 0.9657\n","Epoch 14/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0757 - accuracy: 0.9706 - precision: 0.9704 - recall: 0.9670 - val_loss: 0.0804 - val_accuracy: 0.9690 - val_precision: 0.9628 - val_recall: 0.9719\n","Epoch 15/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0745 - accuracy: 0.9711 - precision: 0.9707 - recall: 0.9678 - val_loss: 0.0791 - val_accuracy: 0.9695 - val_precision: 0.9788 - val_recall: 0.9561\n","Epoch 16/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0737 - accuracy: 0.9714 - precision: 0.9711 - recall: 0.9680 - val_loss: 0.0782 - val_accuracy: 0.9699 - val_precision: 0.9719 - val_recall: 0.9641\n","Epoch 17/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0729 - accuracy: 0.9716 - precision: 0.9716 - recall: 0.9680 - val_loss: 0.0773 - val_accuracy: 0.9702 - val_precision: 0.9805 - val_recall: 0.9558\n","Epoch 18/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0719 - accuracy: 0.9721 - precision: 0.9721 - recall: 0.9684 - val_loss: 0.0753 - val_accuracy: 0.9708 - val_precision: 0.9669 - val_recall: 0.9715\n","Epoch 19/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0709 - accuracy: 0.9724 - precision: 0.9725 - recall: 0.9687 - val_loss: 0.0726 - val_accuracy: 0.9726 - val_precision: 0.9730 - val_recall: 0.9688\n","Epoch 20/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0702 - accuracy: 0.9730 - precision: 0.9733 - recall: 0.9692 - val_loss: 0.0719 - val_accuracy: 0.9725 - val_precision: 0.9740 - val_recall: 0.9675\n","Epoch 21/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0686 - accuracy: 0.9735 - precision: 0.9738 - recall: 0.9698 - val_loss: 0.0715 - val_accuracy: 0.9728 - val_precision: 0.9700 - val_recall: 0.9725\n","Epoch 22/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0667 - accuracy: 0.9743 - precision: 0.9745 - recall: 0.9707 - val_loss: 0.0739 - val_accuracy: 0.9716 - val_precision: 0.9810 - val_recall: 0.9584\n","Epoch 23/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0654 - accuracy: 0.9747 - precision: 0.9755 - recall: 0.9707 - val_loss: 0.0684 - val_accuracy: 0.9741 - val_precision: 0.9794 - val_recall: 0.9654\n","Epoch 24/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0639 - accuracy: 0.9756 - precision: 0.9760 - recall: 0.9720 - val_loss: 0.0681 - val_accuracy: 0.9741 - val_precision: 0.9676 - val_recall: 0.9779\n","Epoch 25/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0629 - accuracy: 0.9759 - precision: 0.9763 - recall: 0.9723 - val_loss: 0.0645 - val_accuracy: 0.9759 - val_precision: 0.9756 - val_recall: 0.9733\n","Epoch 26/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0621 - accuracy: 0.9764 - precision: 0.9769 - recall: 0.9728 - val_loss: 0.0655 - val_accuracy: 0.9751 - val_precision: 0.9808 - val_recall: 0.9662\n","Epoch 27/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0597 - accuracy: 0.9773 - precision: 0.9779 - recall: 0.9738 - val_loss: 0.0644 - val_accuracy: 0.9758 - val_precision: 0.9793 - val_recall: 0.9693\n","Epoch 28/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0587 - accuracy: 0.9777 - precision: 0.9783 - recall: 0.9741 - val_loss: 0.0688 - val_accuracy: 0.9744 - val_precision: 0.9620 - val_recall: 0.9846\n","Epoch 29/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0574 - accuracy: 0.9784 - precision: 0.9791 - recall: 0.9748 - val_loss: 0.0652 - val_accuracy: 0.9754 - val_precision: 0.9871 - val_recall: 0.9603\n","Epoch 30/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0563 - accuracy: 0.9785 - precision: 0.9794 - recall: 0.9747 - val_loss: 0.0595 - val_accuracy: 0.9779 - val_precision: 0.9742 - val_recall: 0.9790\n","Epoch 31/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0553 - accuracy: 0.9792 - precision: 0.9802 - recall: 0.9755 - val_loss: 0.0582 - val_accuracy: 0.9786 - val_precision: 0.9802 - val_recall: 0.9743\n","Epoch 32/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0538 - accuracy: 0.9798 - precision: 0.9809 - recall: 0.9759 - val_loss: 0.0615 - val_accuracy: 0.9775 - val_precision: 0.9866 - val_recall: 0.9654\n","Epoch 33/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0532 - accuracy: 0.9800 - precision: 0.9811 - recall: 0.9761 - val_loss: 0.0561 - val_accuracy: 0.9789 - val_precision: 0.9763 - val_recall: 0.9789\n","Epoch 34/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0524 - accuracy: 0.9804 - precision: 0.9815 - recall: 0.9768 - val_loss: 0.0585 - val_accuracy: 0.9783 - val_precision: 0.9858 - val_recall: 0.9679\n","Epoch 35/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0523 - accuracy: 0.9804 - precision: 0.9815 - recall: 0.9767 - val_loss: 0.0571 - val_accuracy: 0.9789 - val_precision: 0.9746 - val_recall: 0.9810\n","Epoch 36/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0511 - accuracy: 0.9810 - precision: 0.9822 - recall: 0.9773 - val_loss: 0.0590 - val_accuracy: 0.9783 - val_precision: 0.9694 - val_recall: 0.9850\n","Epoch 37/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0504 - accuracy: 0.9811 - precision: 0.9824 - recall: 0.9772 - val_loss: 0.0578 - val_accuracy: 0.9793 - val_precision: 0.9753 - val_recall: 0.9809\n","Epoch 38/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0491 - accuracy: 0.9814 - precision: 0.9825 - recall: 0.9778 - val_loss: 0.0545 - val_accuracy: 0.9798 - val_precision: 0.9786 - val_recall: 0.9785\n","Epoch 39/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0488 - accuracy: 0.9817 - precision: 0.9827 - recall: 0.9782 - val_loss: 0.0564 - val_accuracy: 0.9795 - val_precision: 0.9867 - val_recall: 0.9697\n","Epoch 40/40\n","707/707 [==============================] - 1s 2ms/step - loss: 0.0480 - accuracy: 0.9820 - precision: 0.9830 - recall: 0.9786 - val_loss: 0.0538 - val_accuracy: 0.9800 - val_precision: 0.9778 - val_recall: 0.9800\n"]}],"source":["#train the classifier\n","keras_seq = model.fit(x=X_train, \n","y=y_train, \n","epochs=40,\n","batch_size=512,\n","validation_data=(X_val, y_val), verbose=1)"]},{"cell_type":"markdown","metadata":{"cell_id":"a6b545762c8849a4ac6d0f25e71d1d1c","deepnote_cell_type":"markdown"},"source":["### 4.5 Check on the training set and visualize performance"]},{"cell_type":"code","execution_count":5,"metadata":{"cell_id":"f36f431e687a4f19a25e6f6cf36f00e5","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":8453,"execution_start":1682337484503,"source_hash":"16b8e4d"},"outputs":[{"name":"stdout","output_type":"stream","text":["11310/11310 [==============================] - 8s 723us/step - loss: 0.0447 - accuracy: 0.9836 - precision: 0.9817 - recall: 0.9834\n","Train loss: 0.0447419136762619\n","Train accuracy: 0.9836138486862183\n","Train precision: 0.9817090630531311\n","Train recall: 0.9834414720535278\n"]}],"source":["# Evaluate the model on the training set\n","train_metrics = model.evaluate(X_train, y_train, verbose=1)\n","\n","# Extract the individual metrics\n","train_loss, train_accuracy, train_precision, train_recall = train_metrics\n","\n","# Print the metrics\n","print(\"Train loss:\", train_loss)\n","print(\"Train accuracy:\", train_accuracy)\n","print(\"Train precision:\", train_precision)\n","print(\"Train recall:\", train_recall)"]},{"cell_type":"code","execution_count":6,"metadata":{"cell_id":"6ab957a006054c7ba8c570acb7c2f2b8","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":236,"execution_start":1682337492868,"source_hash":"11e62fc0"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{"image/png":{"height":455,"width":576}},"output_type":"display_data"}],"source":["# Plot the training and validation loss\n","plt.plot(keras_seq.history['loss'], label='Training loss')\n","plt.plot(keras_seq.history['val_loss'], label='Validation loss')\n","plt.xlabel('Epochs')\n","plt.ylabel('Loss')\n","plt.title('Training and Validation Loss')\n","plt.legend()\n","plt.show()"]},{"cell_type":"code","execution_count":7,"metadata":{"cell_id":"bbdd9a8b4b9a494e92952983c9066fe9","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":148,"execution_start":1682337493109,"source_hash":"5e94a526"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{"image/png":{"height":455,"width":576}},"output_type":"display_data"}],"source":["# Plot the training and validation accuracy\n","plt.plot(keras_seq.history['accuracy'], label='Training accuracy')\n","plt.plot(keras_seq.history['val_accuracy'], label='Validation accuracy')\n","plt.xlabel('Epochs')\n","plt.ylabel('Accuracy')\n","plt.title('Training and Validation Accuracy')\n","plt.legend()\n","plt.show()"]},{"cell_type":"markdown","metadata":{"cell_id":"5e5cbf150ae04a42a66263201d6ece90","deepnote_cell_type":"markdown"},"source":["### 4.6 Compute the prediction according to the model"]},{"cell_type":"code","execution_count":8,"metadata":{"cell_id":"518ad952fb6a4e079ecd8e08441e47dc","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":3247,"execution_start":1682337493295,"source_hash":"16804574"},"outputs":[{"name":"stdout","output_type":"stream","text":["3535/3535 [==============================] - 2s 608us/step\n","Training Accuracy:  98.07 %\n","Training Precision:  97.9 %\n","Training Recall:  98.0 %\n","Training F1:  97.95 %\n","Training ROC AUC:  98.07 %\n","Training Confusion Matrix: \n"," [[58808  1119]\n"," [ 1063 52101]]\n"]}],"source":["# compute prediction on unseen (test) dataset\n","y_pred = (model.predict(X_test) > 0.5).astype(\"int32\")\n","print('Training Accuracy: ', round(accuracy_score(y_test, y_pred)*100, 2), '%')\n","print('Training Precision: ', round(precision_score(y_test, y_pred)*100, 2), '%')\n","print('Training Recall: ', round(recall_score(y_test, y_pred)*100, 2), '%')\n","print('Training F1: ', round(f1_score(y_test, y_pred)*100, 2), '%')\n","print('Training ROC AUC: ', round(roc_auc_score(y_test, y_pred)*100, 2), '%')\n","print('Training Confusion Matrix: \\n', confusion_matrix(y_test, y_pred))"]},{"cell_type":"code","execution_count":9,"metadata":{"cell_id":"c44692f4e728495784827b2a5673adc7","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":205,"execution_start":1682337496543,"source_hash":"5dd78e1f"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 900x900 with 2 Axes>"]},"metadata":{"image/png":{"height":713,"width":744}},"output_type":"display_data"}],"source":["# visualize the performance\n","cm = metrics.confusion_matrix(y_test, y_pred)\n","plt.figure(figsize=(9,9))\n","sns.heatmap(cm, annot=True, fmt=\".3f\", linewidths=.5, square = True, cmap = 'Blues_r');\n","plt.ylabel('Actual label');\n","plt.xlabel('Predicted label');\n","all_sample_title = 'Accuracy Score: {0}'.format(accuracy_score(y_test, y_pred))\n","plt.title(all_sample_title, size = 15);"]},{"cell_type":"code","execution_count":10,"metadata":{"cell_id":"30171586aa8b4788b13fa48450351346","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":3159,"execution_start":1682337496733,"source_hash":"ec2845eb"},"outputs":[{"name":"stdout","output_type":"stream","text":["3535/3535 [==============================] - 2s 650us/step\n","True: [0 1 0 0 1 1 0 1 1 1 0 1 0 0 1 0 0 0 0 0 1 1 1 0 1]\n","Pred: [0 1 0 0 1 1 0 1 1 1 0 1 0 0 1 0 0 0 0 0 1 1 1 0 1\n"]}],"source":["# make predictions on the testing set\n","y_pred_class = (model.predict(X_test) > 0.5).astype(\"int32\")\n","pred=y_pred_class.tolist()\n","pred_1 = [i[0] for i in pred]\n","pred_2 = ''.join(str(pred_1).split(','))\n","# print true vs predicted\n","\n","print('True:', y_test.values[0:25])\n","print('Pred:', pred_2[0:50])\n"]},{"cell_type":"markdown","metadata":{"cell_id":"8f4df242c53740069d3e259d5b6b0d22","deepnote_cell_type":"markdown"},"source":["### 4.7 Test and Validate"]},{"cell_type":"code","execution_count":11,"metadata":{"cell_id":"ee02031a6a534213ba299e5064fe0068","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":2917,"execution_start":1682337499894,"source_hash":"d7cec33f"},"outputs":[{"name":"stdout","output_type":"stream","text":["3535/3535 [==============================] - 3s 789us/step - loss: 0.0534 - accuracy: 0.9807 - precision: 0.9790 - recall: 0.9800\n","Test loss: 0.0533980056643486\n","Test accuracy: 0.9807057976722717\n","Test precision: 0.9789740443229675\n","Test recall: 0.9800052642822266\n"]}],"source":["# Evaluate the model on the test set\n","test_metrics = model.evaluate(X_test, y_test, verbose=1)\n","\n","# Extract the individual metrics\n","test_loss, test_accuracy, test_precision, test_recall = test_metrics\n","\n","# Print the metrics\n","print(\"Test loss:\", test_loss)\n","print(\"Test accuracy:\", test_accuracy)\n","print(\"Test precision:\", test_precision)\n","print(\"Test recall:\", test_recall)"]},{"cell_type":"code","execution_count":12,"metadata":{"cell_id":"c95ba69ca982423290d19933028b49dc","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":3226,"execution_start":1682337502811,"source_hash":"acc90e67"},"outputs":[{"name":"stdout","output_type":"stream","text":["3535/3535 [==============================] - 2s 661us/step\n","Testing Accuracy score:  98.07 %\n","Testing Precision score:  97.9 %\n","Testing Recall score:  98.0 %\n","Testing F1 score:  97.95 %\n","Testing ROC AUC score:  98.07 %\n","Testing Confusion matrix: \n"," [[58808  1119]\n"," [ 1063 52101]]\n"]}],"source":["y_pred_class = (model.predict(X_test) > 0.5).astype(\"int32\")\n","#predictions = (model.predict(X_test) > 0.5).astype(\"int32\")\n","print('Testing Accuracy score: ', round(accuracy_score(y_test, y_pred_class)*100, 2), '%')\n","print('Testing Precision score: ', round(precision_score(y_test, y_pred_class)*100, 2), '%')\n","print('Testing Recall score: ', round(recall_score(y_test, y_pred_class)*100, 2), '%')\n","print('Testing F1 score: ', round(f1_score(y_test, y_pred_class)*100, 2), '%')\n","print('Testing ROC AUC score: ', round(roc_auc_score(y_test, y_pred_class)*100, 2), '%')\n","print('Testing Confusion matrix: \\n', confusion_matrix(y_test, y_pred_class))"]},{"cell_type":"markdown","metadata":{"cell_id":"56bf3233f7244fd0a884c14ef63d4024","deepnote_cell_type":"markdown"},"source":["### 4.8 Check on the test set and visualize performance"]},{"cell_type":"code","execution_count":13,"metadata":{"cell_id":"ab4aec7349ba4515a240a822f4381da7","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":269,"execution_start":1682337505982,"source_hash":"346a2323"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 900x900 with 2 Axes>"]},"metadata":{"image/png":{"height":713,"width":744}},"output_type":"display_data"}],"source":["# visualize the performance\n","cm = metrics.confusion_matrix(y_test, y_pred_class)\n","plt.figure(figsize=(9,9))\n","sns.heatmap(cm, annot=True, fmt=\".3f\", linewidths=.5, square = True, cmap = 'Blues_r');\n","plt.ylabel('Actual label');\n","plt.xlabel('Predicted label');\n","all_sample_title = 'Accuracy Score: {0}'.format(accuracy_score(y_test, y_pred_class))\n","plt.title(all_sample_title, size = 15);"]},{"cell_type":"code","execution_count":14,"metadata":{"cell_id":"126fef72d71745c1a62e8ac77446502f","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":161,"execution_start":1682337506188,"source_hash":"74be42b2"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{"image/png":{"height":455,"width":567}},"output_type":"display_data"}],"source":["# plot ROC curve\n","fpr, tpr, _ = roc_curve(y_test, y_pred_class)\n","auc = roc_auc_score(y_test, y_pred_class)\n","\n","plt.figure()\n","plt.plot(fpr, tpr, label='ROC curve (AUC = %0.2f)' % auc)\n","plt.plot([0, 1], [0, 1], linestyle='--', color='r', label='Random classifier')\n","plt.xlabel('False Positive Rate (Specificity)')\n","plt.ylabel('True Positive Rate (Sensitivity)')\n","plt.title('ROC curve for loan classifier')\n","plt.legend(loc=\"lower right\")\n","plt.grid(True)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"cell_id":"1808a72479b1483a810d0d1a98728b20","deepnote_cell_type":"markdown"},"source":["### 4.9 Compute the evaluation metrics - accuracy, precision, recall, F1-score"]},{"cell_type":"code","execution_count":15,"metadata":{"cell_id":"ee7097cf4a2e4f9d85c4ed009b652c91","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":2860,"execution_start":1682337506351,"source_hash":"64e94201"},"outputs":[{"name":"stdout","output_type":"stream","text":["2828/2828 [==============================] - 2s 668us/step\n","Validation accuracy score:  98.0 %\n","Validation precision score:  97.78 %\n","Validation recall score:  98.0 %\n","Validation F1 score:  97.89 %\n","Validation ROC AUC score:  98.0 %\n"]}],"source":["y_val_pred = (model.predict(X_val) > 0.5).astype(\"int32\")\n","print('Validation accuracy score: ', round(accuracy_score(y_val, y_val_pred)*100, 2), '%')\n","print('Validation precision score: ', round(precision_score(y_val, y_val_pred)*100, 2), '%')\n","print('Validation recall score: ', round(recall_score(y_val, y_val_pred)*100, 2), '%')\n","print('Validation F1 score: ', round(f1_score(y_val, y_val_pred)*100, 2), '%')\n","print('Validation ROC AUC score: ', round(roc_auc_score(y_val, y_val_pred)*100, 2), '%')"]},{"cell_type":"markdown","metadata":{"cell_id":"295228b841f84847bf9283da8051e0f5","deepnote_cell_type":"markdown"},"source":["### 4.10 Compute the confusion matrix - sensitivity & specificity"]},{"cell_type":"code","execution_count":16,"metadata":{"cell_id":"1cf726846eb34f628b003ff1a6858204","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":199,"execution_start":1682337509114,"source_hash":"10eefc0e"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{"image/png":{"height":455,"width":556}},"output_type":"display_data"}],"source":["# visualize the validation confusion matrix\n","cm = confusion_matrix(y_val, y_val_pred)\n","sns.heatmap(cm, annot=True, fmt='d', cmap='Blues')\n","plt.title('Validation Confusion Matrix')\n","plt.xlabel('Predicted')\n","plt.ylabel('Actual')\n","plt.show()"]},{"cell_type":"code","execution_count":17,"metadata":{"cell_id":"847b2b984d04467b98170e3f4fb21323","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":149,"execution_start":1682337509279,"source_hash":"ed191155"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{"image/png":{"height":455,"width":578}},"output_type":"display_data"}],"source":["# plot ROC curve\n","import matplotlib.pyplot as plt\n","fpr, tpr, thresholds = metrics.roc_curve(y_val, y_val_pred)\n","plt.plot(fpr, tpr)\n","plt.xlim([0.0, 1.0])\n","plt.ylim([0.0, 1.0])\n","plt.title('ROC curve for loan classifier')\n","plt.xlabel('False Positive Rate (Specificity)')\n","plt.ylabel('True Positive Rate (Sensitivity)')\n","plt.grid(True)"]},{"cell_type":"markdown","metadata":{"cell_id":"f03d8d19916c49b2904732f464aa819f","deepnote_cell_type":"markdown"},"source":["### 5 - Observations\n","5.1 Overview\n","5.2 Plot to show balanced dataset\n","5.3 Feature Importance\n","5.4 Plot Correlation Matrix\n","5.5 Scatterplot Open Accounts and Revolving Balance by Loan Status\n","5.6 Scatterplot loan size and associated late fees\n","5.7 Bar graph\n","5.8 Kernel Density Estimation Plot\n","\n","\n"]},{"cell_type":"markdown","metadata":{"cell_id":"20ac1dafa91248c08bd43e3c4c4664f8","deepnote_cell_type":"markdown"},"source":["### 5.1 Overview\n","We chose to use a synthetic dataset based on aggregated LendingClub loan data, as we did for the midterm project. This dataset was obtained from the Kaggle page located here (George, N., n.d). Unfortunately, due to the size of the dataset, we were unable to work with it easily in any online Jupyter style notebooks. As a result, we downloaded the dataset, uncompressed it, and removed a large number of columns that we deemed unnecessary. We also dropped any record whose \"loan status\" was anything other than \"Fully Paid\" (indicating the loan was paid until the balance was paid off) or \"Charged Off\" (indicating the borrower had failed to repay the loan). There were significantly more Fully Paid records than Charged Off records, resulting in an extremely imbalanced dataset. We knew this would have a negative impact on the accuracy of our model, so we randomly dropped Fully Paid records to bring this number down and closer to the Charged Off records (Brownlee, 2018). We were aware of other methods for manually balancing datasets, such as the Synthetic Minority Oversampling Technique (SMOTE), but due to the sheer size of the dataset, randomly removing the Fully Paid records seemed like a much simpler approach that still left us with plenty of data (over 500,000 records) to train our model on. Following the completion of these data engineering actions, a number of categorical columns were One-Hot Encoded and appended to the end of the dataset. The final step was to save the dataframe as a .csv file so that it could be saved to disk and uploaded to our Deepnote Jupyter notebook. "]},{"cell_type":"markdown","metadata":{"cell_id":"35b579316c5f48f6b0648d874beacda8","deepnote_cell_type":"markdown"},"source":["### 5.2 Plot to show balanced dataset\n","The following bar chart simply shows the balanced distribution of records based on our target variable of “loan_paid”. In this case, a 1 represents a Fully Paid record and a 0 represents Charged Off. "]},{"cell_type":"code","execution_count":18,"metadata":{"cell_id":"96345fbfdb01475c98465d7881d2bebb","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":110,"execution_start":1682337509429,"source_hash":"a1f32f2"},"outputs":[{"data":{"image/png":"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size 640x480 with 1 Axes>"]},"metadata":{"image/png":{"height":433,"width":597}},"output_type":"display_data"}],"source":["# visualize the target variable in the original dataset to establish balanced dataset\n","sns.countplot(x='loan_paid', data=df)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"cell_id":"4c21cceac60e49f0b196290753f19673","deepnote_cell_type":"markdown"},"source":["### 5.3 Feature Importance\n","This graph shows the feature importance of each column in the dataset as it relates to our target variable of loan_paid. A negative correlation means that as one variable increases, the other decreases. A positive correlation means that as one variable increases, the other variable increases as well.  In this example, the “last fico range high” column has the highest negative correlation with the “loan_paid” column, suggesting that as FICO credit scores decrease, so does the chance of the borrower defaulting on their loan.  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","text/plain":["<Figure size 1500x700 with 1 Axes>"]},"metadata":{"image/png":{"height":770,"width":1225}},"output_type":"display_data"}],"source":["# checking correlation of features to the new loan_paid column\n","plt.figure(figsize=(15,7))\n","new_corr = df.corr().iloc[:-1,-1].sort_values()\n","new_corr.plot.bar(rot=90)"]},{"cell_type":"markdown","metadata":{"cell_id":"c86fa0e01ac94fdb87079e298b7c2033","deepnote_cell_type":"markdown"},"source":["### 5.4 Plot Correlation Matrix\n","The following correlation matrix (Kumar, 2022) shows a strong negative correlation between the “loan_paid” column and the “collections_12_mths_ex_med” column suggesting that if a borrower had high number of collections in the past year (excluding medical collections), then there is a much higher chance that they will default on their loan.  "]},{"cell_type":"code","execution_count":20,"metadata":{"cell_id":"243da2b139964ef0b3c610b9d8923724","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":19492,"execution_start":1682337519739,"source_hash":"b3ac1f02"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x1000 with 2 Axes>"]},"metadata":{"image/png":{"height":988,"width":1103}},"output_type":"display_data"}],"source":["# plot correlation matrix\n","plt.figure(figsize=(12,10))\n","mask = np.zeros_like(df.corr())\n","mask[np.triu_indices_from(mask)] = True\n","sns.heatmap(df.corr(), cmap='viridis', mask=mask, annot=False, square=True)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"cell_id":"52d326d2bfb947d6a5a89ff27ff1dfcc","deepnote_cell_type":"markdown"},"source":["### 5.5 Scatterplot Open Accounts and Revolving Balance by Loan Status\n","The result of the scatter plot below shows that borrowers with fewer open accounts tend to have higher revolving balances on those accounts. This could indicate a lower credit score for these users since their total available credit would be smaller across all accounts. A high revolving balance could also mean these borrowers are overextended and may have trouble paying off their debts. The borrowers who ended up defaulting on their loans are highlighted in red below. "]},{"cell_type":"code","execution_count":21,"metadata":{"cell_id":"b994c48e859c4964bbe9a2ff27f332cc","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":7155,"execution_start":1682337539231,"source_hash":"c3054818"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{"image/png":{"height":470,"width":652}},"output_type":"display_data"}],"source":["# create a figure and an axis object\n","fig, ax = plt.subplots()\n","colors = {1: \"green\", 0: \"red\"}\n","ax.scatter(df[\"open_acc\"], df[\"revol_bal\"], c=df[\"loan_paid\"].map(colors), alpha=0.1)\n","ax.set_xlabel(\"Open Accounts\")\n","ax.set_ylabel(\"Revolving Balance\")\n","ax.set_title(\"Relationship between Open Accounts and Revolving Balance by Loan Status\")\n","plt.show()"]},{"cell_type":"markdown","metadata":{"cell_id":"263ec2737a4443259a0c9a81b22c43fd","deepnote_cell_type":"markdown"},"source":["### 5.6 Scatterplot loan size and associated late fees\n","The graph below may help shed light on the correlation between loan size and associated late fees. It's reasonable to assume that late fees would increase in proportion to the size of the loan, but this isn't always the case. Indeed, as can be seen below, there was a spike in late fees when the loan amount reached the $35,000 mark.  "]},{"cell_type":"code","execution_count":22,"metadata":{"cell_id":"1e440d38674341c79b5bacebbe7b6261","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":799,"execution_start":1682337546385,"source_hash":"5ee3d2d7"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{"image/png":{"height":433,"width":571}},"output_type":"display_data"}],"source":["# scatter plot that compares loan_amt and total_rec_late_fee\n","sns.scatterplot(x='loan_amnt', y='total_rec_late_fee', data=df)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"cell_id":"61d6498915424594b1f601ebc9b7ce31","deepnote_cell_type":"markdown"},"source":["### 5.7 Bar graph\n","The data below provides support for the hypothesis that loan_paid is inversely related to collections_12_mths_ex_med. More collections in the past 12 months (excluding medical collections) correlates with a lower likelihood of loan repayment. This may be an indication that these borrowers are having more money problems than average or that their credit ratings are poorer."]},{"cell_type":"code","execution_count":23,"metadata":{"cell_id":"80efd6ba1bf34e2894d7536e42664ad0","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":5163,"execution_start":1682337547160,"source_hash":"e905862e"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 500x500 with 1 Axes>"]},"metadata":{"image/png":{"height":489,"width":489}},"output_type":"display_data"}],"source":["# visualize the relationship between loan_paid and collections_12_mths_ex_med and group by loan_paid\n","sns.catplot(x='collections_12_mths_ex_med', y='loan_paid', data=df, kind='bar')\n","plt.show()"]},{"cell_type":"markdown","metadata":{"cell_id":"ba56504ef68f4a6fb5e24a5ed5e22d2e","deepnote_cell_type":"markdown"},"source":["### 5.8 Kernel Density Estimation Plot\n","The probability density function of a random variable can be estimated using the Kernel density estimation (KDE) graph (Malhotra, 2020). This KDE plot is used to help us visualize the distribution of FICO scores for borrowers with various loan statuses when applied to loan status and FICO score. The diagram shows FICO 450 score being extremely low and 850 being brilliant. By utilizing this KDE plot, we can perceive how the conveyance of credit ratings shifts across various advance situations with. In a nutshell, the KDE plots of the loan status and FICO score indicate that a higher FICO score is related to a lower likelihood of loan default and a higher likelihood of paying off the loan completely. This data can be utilized to assess the financial soundness of borrowers and settle on informed loaning choices. For instance, borrowers who have defaulted on their credits might have a top in the conveyance around a low credit rating of 450, demonstrating that borrowers with lower credit ratings are bound to default on their advances. Conversely, borrowers who are as of now making installments on their credits might have a top in the conveyance around a high credit rating of 850, demonstrating that borrowers with higher credit ratings are bound to make their installments on time. As a result, we are able to provide customized BNPL options to borrowers with varying degrees of creditworthiness by identifying the FICO score range associated with a higher risk of default."]},{"cell_type":"code","execution_count":24,"metadata":{"cell_id":"9562fba6f720474cb233c7b8df9dc7ff","deepnote_cell_type":"code","deepnote_to_be_reexecuted":false,"execution_millis":2293,"execution_start":1682337552324,"source_hash":"d816fde0"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{"image/png":{"height":525,"width":1018}},"output_type":"display_data"}],"source":["# Kernel Density Estimation Plots for loan_status and last_fico_range_high and show legend\n","plt.figure(figsize=(12, 6))\n","sns.kdeplot(loan_data[loan_data['loan_paid'] == 1]['last_fico_range_high'], label='Charged Off', shade=True)\n","sns.kdeplot(loan_data[loan_data['loan_paid'] == 0]['last_fico_range_high'], label='Fully Paid', shade=True)\n","plt.xlabel('last_fico_range_high')\n","plt.ylabel('Density')\n","plt.legend()\n","plt.show()"]},{"cell_type":"markdown","metadata":{"cell_id":"811f77143b9a4662abf3209da7b6625e","deepnote_cell_type":"markdown"},"source":["### 6 - References\n","\n","Brownlee, J. (2018, April 25). Machine Learning Mastery. Retrieved from How to Remove Outliers for Machine Learning: https://machinelearningmastery.com/how-to-use-statistics-to-identify-outliers-in-data/\n","\n","Buy Now, Pay Later: Market trends and consumer impacts. (2022, September 15). Retrieved from CFBP: https://www.consumerfinance.gov/data-research/research-reports/buy-now-pay-later-market-trends-and-consumer-impacts/\n","\n","DeepAI. (2019, May 17). Feed Forward Neural Network. DeepAI. Retrieved April 22, 2023, from https://deepai.org/machine-learning-glossary-and-terms/feed-forward-neural-network \n","\n","George, N. (n.d.). Kaggle. Retrieved from All Lending Club loan data: https://www.kaggle.com/datasets/wordsforthewise/lending-club\n","\n","Godoy, D. (2022, July 10). Understanding binary cross-entropy / log loss: A visual explanation. Medium. Retrieved April 19, 2023, from https://towardsdatascience.com/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a \n","\n","Gradio (2023). Build & Share Delightful Machine Learning Apps. Retrieved April 23, 2023, from https://gradio.app/\n","\n","Kumar, A. (2022, April). Correlation Concepts, Matrix & Heatmap using Seaborn. Retrieved from Vitalflux: https://vitalflux.com/correlation-heatmap-with-seaborn-pandas/amp/\n","\n","Malhotra, V. (2020, October 12). Medium. Retrieved from ML04: Kernel Density Estimation: https://medium.com/analytics-vidhya/ml04-kernel-density-estimation-ee29a1578d0c\n","\n","Ramachandran, P., Zoph, B., & Le, Q. V. (2017). Searching for activation functions. ArXiv Preprint ArXiv:1710.05941. \n","\n","Team, K. (n.d.). Simple. flexible. powerful. Keras. Retrieved April 20, 2023, from https://keras.io/ "]},{"cell_type":"markdown","metadata":{"created_in_deepnote_cell":true,"deepnote_cell_type":"markdown"},"source":["<a style='text-decoration:none;line-height:16px;display:flex;color:#5B5B62;padding:10px;justify-content:end;' href='https://deepnote.com?utm_source=created-in-deepnote-cell&projectId=15617cbb-2604-4e67-8d7c-8506cee32e96' target=\"_blank\">\n","<img alt='Created in deepnote.com' style='display:inline;max-height:16px;margin:0px;margin-right:7.5px;' src='data:image/svg+xml;base64,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' > </img>\n","Created in <span style='font-weight:600;margin-left:4px;'>Deepnote</span></a>"]}],"metadata":{"deepnote":{},"deepnote_execution_queue":[],"deepnote_notebook_id":"52e81c48128541ac9d67cfb88edf2a95","kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.13"}},"nbformat":4,"nbformat_minor":0}