{"paragraphs":[{"text":"import tensorflow as tf\nfrom keras.models import Sequential\nimport pandas as pd\nfrom keras.layers import Dense\n\nurl = 'https://raw.githubusercontent.com/werowe/logisticRegressionBestModel/master/KidCreative.csv'\n\ndata = pd.read_csv(url, delimiter=',')\n\nlabels=data['Buy']\nfeatures = data.iloc[:,2:16]\n\n\nimport numpy as np\nfrom sklearn.model_selection import train_test_split\n\nX=features\n\ny=np.ravel(labels)\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)\n\nfrom sklearn.preprocessing import StandardScaler\n\nscaler = StandardScaler().fit(X_train)\n\nX_train = scaler.transform(X_train)\n\nX_test = scaler.transform(X_test)\n\n\nmodel = Sequential()\n\nmodel.add(Dense(8, activation='relu', input_shape=(14,)))\n\nmodel.add(Dense(8, activation='relu'))\n\nmodel.add(Dense(1, activation='sigmoid'))\n\n\nmodel.compile(loss='binary_crossentropy',\n              optimizer='sgd',\n              metrics=['accuracy'])\n                   \nmodel.fit(X_train, y_train,epochs=8, batch_size=1, verbose=1)\n\n\ny_pred = model.predict(X_test)\n\nscore = model.evaluate(X_test, y_test,verbose=1)\n\nprint(score)\n\n\n\n","user":"walker","dateUpdated":"2019-11-29T15:56:09+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/python"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"/home/ubuntu/py3/lib/python3.5/site-packages/sklearn/preprocessing/data.py:625: DataConversionWarning:\n\nData with input dtype int64 were all converted to float64 by StandardScaler.\n\n/home/ubuntu/py3/lib/python3.5/site-packages/ipykernel_launcher.py:27: DataConversionWarning:\n\nData with input dtype int64 were all converted to float64 by StandardScaler.\n\n/home/ubuntu/py3/lib/python3.5/site-packages/ipykernel_launcher.py:29: DataConversionWarning:\n\nData with input dtype int64 were all converted to float64 by StandardScaler.\n\nEpoch 1/8\n\r  1/450 [..............................] - ETA: 2:05 - loss: 1.8440 - acc: 0.0000e+00\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 43/450 [=>............................] - ETA: 3s - loss: 0.9338 - acc: 0.1860      \b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 92/450 [=====>........................] - ETA: 1s - loss: 0.8009 - acc: 0.3913\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r146/450 [========>.....................] - ETA: 0s - loss: 0.7281 - acc: 0.5205\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r192/450 [===========>..................] - ETA: 0s - loss: 0.6868 - acc: 0.5885\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r237/450 [==============>...............] - ETA: 0s - loss: 0.6506 - acc: 0.6371\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r288/450 [==================>...........] - ETA: 0s - loss: 0.6163 - acc: 0.6771\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r338/450 [=====================>........] - ETA: 0s - loss: 0.5895 - acc: 0.7041\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r385/450 [========================>.....] - ETA: 0s - loss: 0.5745 - acc: 0.7143\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r431/450 [===========================>..] - ETA: 0s - loss: 0.5657 - acc: 0.7169\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r450/450 [==============================] - 1s 2ms/step - loss: 0.5608 - acc: 0.7244\nEpoch 2/8\n\r  1/450 [..............................] - ETA: 0s - loss: 0.1938 - acc: 1.0000\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 49/450 [==>...........................] - ETA: 0s - loss: 0.3707 - acc: 0.8571\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 97/450 [=====>........................] - ETA: 0s - loss: 0.4523 - acc: 0.8041\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r145/450 [========>.....................] - ETA: 0s - loss: 0.4569 - acc: 0.7793\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r192/450 [===========>..................] - ETA: 0s - loss: 0.4501 - acc: 0.7865\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r240/450 [===============>..............] - ETA: 0s - loss: 0.4248 - acc: 0.8083\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r285/450 [==================>...........] - ETA: 0s - loss: 0.4181 - acc: 0.8035\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r329/450 [====================>.........] - ETA: 0s - loss: 0.4087 - acc: 0.8116\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r374/450 [=======================>......] - ETA: 0s - loss: 0.4013 - acc: 0.8128\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r421/450 [===========================>..] - ETA: 0s - loss: 0.3864 - acc: 0.8195\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r450/450 [==============================] - 0s 1ms/step - loss: 0.3815 - acc: 0.8222\nEpoch 3/8\n\r  1/450 [..............................] - ETA: 0s - loss: 0.0211 - acc: 1.0000\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 49/450 [==>...........................] - ETA: 0s - loss: 0.2757 - acc: 0.8776\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 97/450 [=====>........................] - ETA: 0s - loss: 0.3647 - acc: 0.8144\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r145/450 [========>.....................] - ETA: 0s - loss: 0.3571 - acc: 0.8345\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r193/450 [===========>..................] - ETA: 0s - loss: 0.3300 - acc: 0.8446\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r245/450 [===============>..............] - ETA: 0s - loss: 0.3326 - acc: 0.8490\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r294/450 [==================>...........] - ETA: 0s - loss: 0.3306 - acc: 0.8435\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r342/450 [=====================>........] - ETA: 0s - loss: 0.3312 - acc: 0.8392\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r389/450 [========================>.....] - ETA: 0s - loss: 0.3232 - acc: 0.8509\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r437/450 [============================>.] - ETA: 0s - loss: 0.3151 - acc: 0.8581\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r450/450 [==============================] - 0s 1ms/step - loss: 0.3174 - acc: 0.8556\nEpoch 4/8\n\r  1/450 [..............................] - ETA: 0s - loss: 0.2241 - acc: 1.0000\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 49/450 [==>...........................] - ETA: 0s - loss: 0.2208 - acc: 0.8980\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 96/450 [=====>........................] - ETA: 0s - loss: 0.2185 - acc: 0.9062\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r143/450 [========>.....................] - ETA: 0s - loss: 0.2555 - acc: 0.8881\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r190/450 [===========>..................] - ETA: 0s - loss: 0.2695 - acc: 0.8842\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r238/450 [==============>...............] - ETA: 0s - loss: 0.2758 - acc: 0.8697\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r291/450 [==================>...........] - ETA: 0s - loss: 0.2746 - acc: 0.8763\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r338/450 [=====================>........] - ETA: 0s - loss: 0.2776 - acc: 0.8728\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r385/450 [========================>.....] - ETA: 0s - loss: 0.2732 - acc: 0.8727\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r433/450 [===========================>..] - ETA: 0s - loss: 0.2723 - acc: 0.8776\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r450/450 [==============================] - 0s 1ms/step - loss: 0.2769 - acc: 0.8733\nEpoch 5/8\n\r  1/450 [..............................] - ETA: 0s - loss: 0.3317 - acc: 1.0000\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 48/450 [==>...........................] - ETA: 0s - loss: 0.1882 - acc: 0.9167\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 96/450 [=====>........................] - ETA: 0s - loss: 0.2155 - acc: 0.8854\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r143/450 [========>.....................] - ETA: 0s - loss: 0.1879 - acc: 0.9091\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r194/450 [===========>..................] - ETA: 0s - loss: 0.2042 - acc: 0.9021\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r241/450 [===============>..............] - ETA: 0s - loss: 0.2263 - acc: 0.8921\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r289/450 [==================>...........] - ETA: 0s - loss: 0.2350 - acc: 0.8789\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r337/450 [=====================>........] - ETA: 0s - loss: 0.2380 - acc: 0.8754\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r385/450 [========================>.....] - ETA: 0s - loss: 0.2487 - acc: 0.8727\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r436/450 [============================>.] - ETA: 0s - loss: 0.2423 - acc: 0.8807\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r450/450 [==============================] - 0s 1ms/step - loss: 0.2428 - acc: 0.8822\nEpoch 6/8\n\r  1/450 [..............................] - ETA: 0s - loss: 0.0476 - acc: 1.0000\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 48/450 [==>...........................] - ETA: 0s - loss: 0.2129 - acc: 0.8958\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 96/450 [=====>........................] - ETA: 0s - loss: 0.2350 - acc: 0.9062\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r145/450 [========>.....................] - ETA: 0s - loss: 0.2035 - acc: 0.9310\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r198/450 [============>.................] - ETA: 0s - loss: 0.2045 - acc: 0.9192\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r245/450 [===============>..............] - ETA: 0s - loss: 0.2044 - acc: 0.9184\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r293/450 [==================>...........] - ETA: 0s - loss: 0.2025 - acc: 0.9181\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r342/450 [=====================>........] - ETA: 0s - loss: 0.2113 - acc: 0.9064\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r394/450 [=========================>....] - ETA: 0s - loss: 0.2122 - acc: 0.9061\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r442/450 [============================>.] - ETA: 0s - loss: 0.2101 - acc: 0.9072\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r450/450 [==============================] - 0s 1ms/step - loss: 0.2076 - acc: 0.9089\nEpoch 7/8\n\r  1/450 [..............................] - ETA: 0s - loss: 0.1142 - acc: 1.0000\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 48/450 [==>...........................] - ETA: 0s - loss: 0.2381 - acc: 0.8750\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r 96/450 [=====>........................] - ETA: 0s - loss: 0.2097 - acc: 0.8958\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r147/450 [========>.....................] - ETA: 0s - loss: 0.1974 - acc: 0.9048\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r196/450 [============>.................] - ETA: 0s - loss: 0.1834 - acc: 0.9133\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r248/450 [===============>..............] - ETA: 0s - loss: 0.1805 - acc: 0.9113\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r295/450 [==================>...........] - ETA: 0s - loss: 0.1720 - acc: 0.9119\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r343/450 [=====================>........] - ETA: 0s - loss: 0.1747 - acc: 0.9155\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r390/450 [=========================>....] - ETA: 0s - loss: 0.1754 - acc: 0.9154\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r438/450 [============================>.] - ETA: 0s - loss: 0.1787 - acc: 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[========>.....................] - ETA: 0s - loss: 0.1329 - acc: 0.9448\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r193/450 [===========>..................] - ETA: 0s - loss: 0.1443 - acc: 0.9378\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r244/450 [===============>..............] - ETA: 0s - loss: 0.1533 - acc: 0.9385\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r287/450 [==================>...........] - ETA: 0s - loss: 0.1654 - acc: 0.9373\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r333/450 [=====================>........] - ETA: 0s - loss: 0.1607 - acc: 0.9369\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r382/450 [========================>.....] - ETA: 0s - loss: 0.1642 - acc: 0.9267\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r434/450 [===========================>..] - ETA: 0s - loss: 0.1707 - acc: 0.9240\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r450/450 [==============================] - 0s 1ms/step - loss: 0.1669 - acc: 0.9267\n\r 32/223 [===>..........................] - ETA: 0s\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r223/223 [==============================] - 0s 353us/step\n[0.1909327682759195, 0.9372197314762748]\n"}]},"apps":[],"jobName":"paragraph_1575042826151_897944916","id":"20191129-155346_252786512","dateCreated":"2019-11-29T15:53:46+0000","dateStarted":"2019-11-29T15:56:09+0000","dateFinished":"2019-11-29T15:56:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"focus":true,"$$hashKey":"object:2610"},{"text":"df = pd.DataFrame(data, columns= np.array(data.columns))\n\nbuyers = df.loc[(df.Buy == 1)]\n\nimport matplotlib.pyplot as plt\n\n \nfig, ax = plt.subplots(2,8,figsize=(16, 4) )\n \ni = 0\nj = 0\n\nfor c in buyers.columns[2:]:\n    ax[j,i].hist(buyers[c])\n    ax[j,i].set_title(c)\n    i = i + 1\n    if i == 8:\n        j = 1\n        i = 0\n  \nfig.subplots_adjust(hspace=1, wspace=0.2)\nplt.show()","user":"walker","dateUpdated":"2019-11-29T15:57:15+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/python"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"IMG","data":"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\n\n"},{"type":"TEXT","data":"<Figure size 1152x288 with 16 Axes>"}]},"apps":[],"jobName":"paragraph_1575042917463_240226374","id":"20191129-155517_155809215","dateCreated":"2019-11-29T15:55:17+0000","dateStarted":"2019-11-29T15:57:15+0000","dateFinished":"2019-11-29T15:57:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:2611"},{"text":"df = pd.DataFrame(data, columns = data.columns )\n\nnotbuyers = df.loc[(df.Buy == 0)] \n\nimport matplotlib.pyplot as plt\n\n \nfig, ax = plt.subplots(2,8,figsize=(16, 4) )\n \ni = 0\nj = 0\n\nfor c in np.array(data.columns)[2:]:\n    ax[j,i].hist(notbuyers[c])\n    ax[j,i].set_title(c)\n    i = i + 1\n    if i == 8:\n        j = 1\n        i = 0\n  \nfig.subplots_adjust(hspace=1, wspace=0.2)\nplt.show()","user":"walker","dateUpdated":"2019-11-29T15:57:47+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/python"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"IMG","data":"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\n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