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Convert boolean features to float in training data #417

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Convert boolean features to float in training data #417

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09d751d
Convert boolean features to float in training data
NotSkynet Jun 27, 2023
93f00cb
changed the test accuracy aswell so it supports uses the astype(float)
NotSkynet Jun 27, 2023
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5 changes: 3 additions & 2 deletions intro-neural-networks/student-admissions/StudentAdmissions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -188,7 +188,7 @@
"metadata": {},
"source": [
"## Splitting the data into features and targets (labels)\n",
"Now, as a final step before the training, we'll split the data into features (X) and targets (y)."
"Now, as a final step before the training, we'll split the data into features (X) and targets (y). We must also convert the values in the one hot encoded ranks from a boolean (true or false) to a float (1 or 0)."
]
},
{
Expand All @@ -201,6 +201,7 @@
"targets = train_data['admit']\n",
"features_test = test_data.drop('admit', axis=1)\n",
"targets_test = test_data['admit']\n",
"features = features.astype(float)\n",
"\n",
"print(features[:10])\n",
"print(targets[:10])"
Expand Down Expand Up @@ -324,7 +325,7 @@
"outputs": [],
"source": [
"# Calculate accuracy on test data\n",
"test_out = sigmoid(np.dot(features_test, weights))\n",
"test_out = sigmoid(np.dot(features_test.astype(float), weights))\n",
"predictions = test_out > 0.5\n",
"accuracy = np.mean(predictions == targets_test)\n",
"print(\"Prediction accuracy: {:.3f}\".format(accuracy))"
Expand Down