"# Check to see if the first dimension of the data tuples match\n",
"(flat_images.shape[0] == data.target.shape[0])"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-05-25T23:09:23.278716Z",
"start_time": "2023-05-25T23:09:23.275847Z"
}
}
},
...
...
@@ -257,19 +282,19 @@
},
{
"cell_type": "code",
"execution_count": 314,
"execution_count": 531,
"outputs": [],
"source": [
"# We'll start by splitting the data into training and testing, going with a 75% train, 25% test split, a 50/50 split, and a 25% train 75% test split.\n",
