From a07b80d73eb1632654ab0a135e610b4dc1b152fd Mon Sep 17 00:00:00 2001
From: Zeynep Hakguder <zhakguder@cse.unl.edu>
Date: Fri, 15 Jun 2018 22:45:10 +0000
Subject: [PATCH] Replace model.ipynb
---
ProgrammingAssignment_2/model.ipynb | 52 -----------------------------
1 file changed, 52 deletions(-)
diff --git a/ProgrammingAssignment_2/model.ipynb b/ProgrammingAssignment_2/model.ipynb
index 08813b2..413c74b 100644
--- a/ProgrammingAssignment_2/model.ipynb
+++ b/ProgrammingAssignment_2/model.ipynb
@@ -166,58 +166,6 @@
" raise NotImplementedError\n",
" return value"
]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## General supervised learning performance related functions "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Implement the \"conf_matrix\" function that takes as input an array of true labels (*true*) and an array of predicted labels (*pred*)."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "def conf_matrix(true, pred):\n",
- " '''\n",
- " Args: \n",
- " true: ndarray\n",
- " nx1 array of true labels for test set\n",
- " pred: ndarray \n",
- " nx1 array of predicted labels for test set\n",
- " Returns:\n",
- " ndarray\n",
- " '''\n",
- " \n",
- " tp = tn = fp = fn = 0\n",
- " # calculate true positives (tp), true negatives(tn)\n",
- " # false positives (fp) and false negatives (fn)\n",
- " \n",
- " size = len(true)\n",
- " for i in range(size):\n",
- " if true[i]==1:\n",
- " if pred[i] == 1: \n",
- " tp += 1\n",
- " else: \n",
- " fn += 1\n",
- " else:\n",
- " if pred[i] == 0:\n",
- " tn += 1 \n",
- " else:\n",
- " fp += 1 \n",
- " \n",
- " # returns the confusion matrix as numpy.ndarray\n",
- " return np.array([tp,tn, fp, fn])"
- ]
}
],
"metadata": {
--
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