http://git-wip-us.apache.org/repos/asf/madlib-site/blob/acd339f6/community-artifacts/Decision-trees-v2.ipynb ---------------------------------------------------------------------- diff --git a/community-artifacts/Decision-trees-v2.ipynb b/community-artifacts/Decision-trees-v2.ipynb new file mode 100644 index 0000000..5b55b03 --- /dev/null +++ b/community-artifacts/Decision-trees-v2.ipynb @@ -0,0 +1,3208 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Decision trees\n", + "\n", + "A decision tree is a supervised learning method that can be used for classification and regression. It consists of a structure in which internal nodes represent tests on attributes, and the branches from nodes represent the result of those tests. Each leaf node is a class label and the paths from root to leaf nodes define the set of classification or regression rules.\n", + "\n", + "This notebook includes impurity importance which was added in 1.15." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/fmcquillan/anaconda/lib/python2.7/site-packages/IPython/config.py:13: ShimWarning: The `IPython.config` package has been deprecated. You should import from traitlets.config instead.\n", + " \"You should import from traitlets.config instead.\", ShimWarning)\n", + "/Users/fmcquillan/anaconda/lib/python2.7/site-packages/IPython/utils/traitlets.py:5: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package.\n", + " warn(\"IPython.utils.traitlets has moved to a top-level traitlets package.\")\n" + ] + } + ], + "source": [ + "%load_ext sql" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "u'Connected: gpadmin@madlib'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Greenplum Database 5.4.0 on GCP (demo machine)\n", + "%sql postgresql://gpadmin@35.184.253.255:5432/madlib\n", + " \n", + "# PostgreSQL local\n", + "#%sql postgresql://fmcquillan@localhost:5432/madlib" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>version</th>\n", + " </tr>\n", + " <tr>\n", + " <td>MADlib version: 1.15-dev, git revision: rc/1.14-rc1-45-g3ab7554, cmake configuration time: Wed Aug 1 18:34:10 UTC 2018, build type: release, build system: Linux-2.6.32-696.20.1.el6.x86_64, C compiler: gcc 4.4.7, C++ compiler: g++ 4.4.7</td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(u'MADlib version: 1.15-dev, git revision: rc/1.14-rc1-45-g3ab7554, cmake configuration time: Wed Aug 1 18:34:10 UTC 2018, build type: release, build system: Linux-2.6.32-696.20.1.el6.x86_64, C compiler: gcc 4.4.7, C++ compiler: g++ 4.4.7',)]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%sql select madlib.version();\n", + "#%sql select version();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Decision tree classification examples" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 1. Load data\n", + "Data set related to whether to play golf or not." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done.\n", + "Done.\n", + "14 rows affected.\n", + "14 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>id</th>\n", + " <th>OUTLOOK</th>\n", + " <th>temperature</th>\n", + " <th>humidity</th>\n", + " <th>Temp_Humidity</th>\n", + " <th>clouds_airquality</th>\n", + " <th>windy</th>\n", + " <th>class</th>\n", + " <th>observation_weight</th>\n", + " </tr>\n", + " <tr>\n", + " <td>1</td>\n", + " <td>sunny</td>\n", + " <td>85.0</td>\n", + " <td>85.0</td>\n", + " <td>[85.0, 85.0]</td>\n", + " <td>[u'none', u'unhealthy']</td>\n", + " <td>False</td>\n", + " <td>Don't Play</td>\n", + " <td>5.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>2</td>\n", + " <td>sunny</td>\n", + " <td>80.0</td>\n", + " <td>90.0</td>\n", + " <td>[80.0, 90.0]</td>\n", + " <td>[u'none', u'moderate']</td>\n", + " <td>True</td>\n", + " <td>Don't Play</td>\n", + " <td>5.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>3</td>\n", + " <td>overcast</td>\n", + " <td>83.0</td>\n", + " <td>78.0</td>\n", + " <td>[83.0, 78.0]</td>\n", + " <td>[u'low', u'moderate']</td>\n", + " <td>False</td>\n", + " <td>Play</td>\n", + " <td>1.5</td>\n", + " </tr>\n", + " <tr>\n", + " <td>4</td>\n", + " <td>rain</td>\n", + " <td>70.0</td>\n", + " <td>96.0</td>\n", + " <td>[70.0, 96.0]</td>\n", + " <td>[u'low', u'moderate']</td>\n", + " <td>False</td>\n", + " <td>Play</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>5</td>\n", + " <td>rain</td>\n", + " <td>68.0</td>\n", + " <td>80.0</td>\n", + " <td>[68.0, 80.0]</td>\n", + " <td>[u'medium', u'good']</td>\n", + " <td>False</td>\n", + " <td>Play</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>6</td>\n", + " <td>rain</td>\n", + " <td>65.0</td>\n", + " <td>70.0</td>\n", + " <td>[65.0, 70.0]</td>\n", + " <td>[u'low', u'unhealthy']</td>\n", + " <td>True</td>\n", + " <td>Don't Play</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>7</td>\n", + " <td>overcast</td>\n", + " <td>64.0</td>\n", + " <td>65.0</td>\n", + " <td>[64.0, 65.0]</td>\n", + " <td>[u'medium', u'moderate']</td>\n", + " <td>True</td>\n", + " <td>Play</td>\n", + " <td>1.5</td>\n", + " </tr>\n", + " <tr>\n", + " <td>8</td>\n", + " <td>sunny</td>\n", + " <td>72.0</td>\n", + " <td>95.0</td>\n", + " <td>[72.0, 95.0]</td>\n", + " <td>[u'high', u'unhealthy']</td>\n", + " <td>False</td>\n", + " <td>Don't Play</td>\n", + " <td>5.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>9</td>\n", + " <td>sunny</td>\n", + " <td>69.0</td>\n", + " <td>70.0</td>\n", + " <td>[69.0, 70.0]</td>\n", + " <td>[u'high', u'good']</td>\n", + " <td>False</td>\n", + " <td>Play</td>\n", + " <td>5.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>10</td>\n", + " <td>rain</td>\n", + " <td>75.0</td>\n", + " <td>80.0</td>\n", + " <td>[75.0, 80.0]</td>\n", + " <td>[u'medium', u'good']</td>\n", + " <td>False</td>\n", + " <td>Play</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>11</td>\n", + " <td>sunny</td>\n", + " <td>75.0</td>\n", + " <td>70.0</td>\n", + " <td>[75.0, 70.0]</td>\n", + " <td>[u'none', u'good']</td>\n", + " <td>True</td>\n", + " <td>Play</td>\n", + " <td>5.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>12</td>\n", + " <td>overcast</td>\n", + " <td>72.0</td>\n", + " <td>90.0</td>\n", + " <td>[72.0, 90.0]</td>\n", + " <td>[u'medium', u'moderate']</td>\n", + " <td>True</td>\n", + " <td>Play</td>\n", + " <td>1.5</td>\n", + " </tr>\n", + " <tr>\n", + " <td>13</td>\n", + " <td>overcast</td>\n", + " <td>81.0</td>\n", + " <td>75.0</td>\n", + " <td>[81.0, 75.0]</td>\n", + " <td>[u'medium', u'moderate']</td>\n", + " <td>False</td>\n", + " <td>Play</td>\n", + " <td>1.5</td>\n", + " </tr>\n", + " <tr>\n", + " <td>14</td>\n", + " <td>rain</td>\n", + " <td>71.0</td>\n", + " <td>80.0</td>\n", + " <td>[71.0, 80.0]</td>\n", + " <td>[u'low', u'unhealthy']</td>\n", + " <td>True</td>\n", + " <td>Don't Play</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(1, u'sunny', 85.0, 85.0, [85.0, 85.0], [u'none', u'unhealthy'], False, u\"Don't Play\", 5.0),\n", + " (2, u'sunny', 80.0, 90.0, [80.0, 90.0], [u'none', u'moderate'], True, u\"Don't Play\", 5.0),\n", + " (3, u'overcast', 83.0, 78.0, [83.0, 78.0], [u'low', u'moderate'], False, u'Play', 1.5),\n", + " (4, u'rain', 70.0, 96.0, [70.0, 96.0], [u'low', u'moderate'], False, u'Play', 1.0),\n", + " (5, u'rain', 68.0, 80.0, [68.0, 80.0], [u'medium', u'good'], False, u'Play', 1.0),\n", + " (6, u'rain', 65.0, 70.0, [65.0, 70.0], [u'low', u'unhealthy'], True, u\"Don't Play\", 1.0),\n", + " (7, u'overcast', 64.0, 65.0, [64.0, 65.0], [u'medium', u'moderate'], True, u'Play', 1.5),\n", + " (8, u'sunny', 72.0, 95.0, [72.0, 95.0], [u'high', u'unhealthy'], False, u\"Don't Play\", 5.0),\n", + " (9, u'sunny', 69.0, 70.0, [69.0, 70.0], [u'high', u'good'], False, u'Play', 5.0),\n", + " (10, u'rain', 75.0, 80.0, [75.0, 80.0], [u'medium', u'good'], False, u'Play', 1.0),\n", + " (11, u'sunny', 75.0, 70.0, [75.0, 70.0], [u'none', u'good'], True, u'Play', 5.0),\n", + " (12, u'overcast', 72.0, 90.0, [72.0, 90.0], [u'medium', u'moderate'], True, u'Play', 1.5),\n", + " (13, u'overcast', 81.0, 75.0, [81.0, 75.0], [u'medium', u'moderate'], False, u'Play', 1.5),\n", + " (14, u'rain', 71.0, 80.0, [71.0, 80.0], [u'low', u'unhealthy'], True, u\"Don't Play\", 1.0)]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "DROP TABLE IF EXISTS dt_golf CASCADE;\n", + "\n", + "CREATE TABLE dt_golf (\n", + " id integer NOT NULL,\n", + " \"OUTLOOK\" text,\n", + " temperature double precision,\n", + " humidity double precision,\n", + " \"Temp_Humidity\" double precision[],\n", + " clouds_airquality text[],\n", + " windy boolean,\n", + " class text,\n", + " observation_weight double precision\n", + ");\n", + "\n", + "INSERT INTO dt_golf VALUES\n", + "(1,'sunny', 85, 85, ARRAY[85, 85],ARRAY['none', 'unhealthy'], 'false','Don''t Play', 5.0),\n", + "(2, 'sunny', 80, 90, ARRAY[80, 90], ARRAY['none', 'moderate'], 'true', 'Don''t Play', 5.0),\n", + "(3, 'overcast', 83, 78, ARRAY[83, 78], ARRAY['low', 'moderate'], 'false', 'Play', 1.5),\n", + "(4, 'rain', 70, 96, ARRAY[70, 96], ARRAY['low', 'moderate'], 'false', 'Play', 1.0),\n", + "(5, 'rain', 68, 80, ARRAY[68, 80], ARRAY['medium', 'good'], 'false', 'Play', 1.0),\n", + "(6, 'rain', 65, 70, ARRAY[65, 70], ARRAY['low', 'unhealthy'], 'true', 'Don''t Play', 1.0),\n", + "(7, 'overcast', 64, 65, ARRAY[64, 65], ARRAY['medium', 'moderate'], 'true', 'Play', 1.5),\n", + "(8, 'sunny', 72, 95, ARRAY[72, 95], ARRAY['high', 'unhealthy'], 'false', 'Don''t Play', 5.0),\n", + "(9, 'sunny', 69, 70, ARRAY[69, 70], ARRAY['high', 'good'], 'false', 'Play', 5.0),\n", + "(10, 'rain', 75, 80, ARRAY[75, 80], ARRAY['medium', 'good'], 'false', 'Play', 1.0),\n", + "(11, 'sunny', 75, 70, ARRAY[75, 70], ARRAY['none', 'good'], 'true', 'Play', 5.0),\n", + "(12, 'overcast', 72, 90, ARRAY[72, 90], ARRAY['medium', 'moderate'], 'true', 'Play', 1.5),\n", + "(13, 'overcast', 81, 75, ARRAY[81, 75], ARRAY['medium', 'moderate'], 'false', 'Play', 1.5),\n", + "(14, 'rain', 71, 80, ARRAY[71, 80], ARRAY['low', 'unhealthy'], 'true', 'Don''t Play', 1.0);\n", + "\n", + "SELECT * FROM dt_golf ORDER BY id;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 2. Train decision tree\n", + "Train tree then view the output table (excluding the tree which is in binary format):" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done.\n", + "1 rows affected.\n", + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>pruning_cp</th>\n", + " <th>cat_levels_in_text</th>\n", + " <th>cat_n_levels</th>\n", + " <th>impurity_var_importance</th>\n", + " <th>tree_depth</th>\n", + " </tr>\n", + " <tr>\n", + " <td>0</td>\n", + " <td>[u'overcast', u'rain', u'sunny', u'False', u'True']</td>\n", + " <td>[3, 2]</td>\n", + " <td>[0.102040816326531, 0.0, 0.85905612244898]</td>\n", + " <td>5</td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(0, [u'overcast', u'rain', u'sunny', u'False', u'True'], [3, 2], [0.102040816326531, 0.0, 0.85905612244898], 5)]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "DROP TABLE IF EXISTS train_output, train_output_summary;\n", + "\n", + "SELECT madlib.tree_train('dt_golf', -- source table\n", + " 'train_output', -- output model table\n", + " 'id', -- id column\n", + " 'class', -- response\n", + " '\"OUTLOOK\", temperature, windy', -- features\n", + " NULL::text, -- exclude columns\n", + " 'gini', -- split criterion\n", + " NULL::text, -- no grouping\n", + " NULL::text, -- no weights, all observations treated equally\n", + " 5, -- max depth\n", + " 3, -- min split\n", + " 1, -- min bucket\n", + " 10 -- number of bins per continuous variable\n", + " );\n", + "\n", + "SELECT pruning_cp, cat_levels_in_text, cat_n_levels, impurity_var_importance, tree_depth FROM train_output;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Review the summary table:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>method</th>\n", + " <th>is_classification</th>\n", + " <th>source_table</th>\n", + " <th>model_table</th>\n", + " <th>id_col_name</th>\n", + " <th>list_of_features</th>\n", + " <th>list_of_features_to_exclude</th>\n", + " <th>dependent_varname</th>\n", + " <th>independent_varnames</th>\n", + " <th>cat_features</th>\n", + " <th>con_features</th>\n", + " <th>grouping_cols</th>\n", + " <th>num_all_groups</th>\n", + " <th>num_failed_groups</th>\n", + " <th>total_rows_processed</th>\n", + " <th>total_rows_skipped</th>\n", + " <th>dependent_var_levels</th>\n", + " <th>dependent_var_type</th>\n", + " <th>input_cp</th>\n", + " <th>independent_var_types</th>\n", + " <th>n_folds</th>\n", + " <th>null_proxy</th>\n", + " </tr>\n", + " <tr>\n", + " <td>tree_train</td>\n", + " <td>True</td>\n", + " <td>dt_golf</td>\n", + " <td>train_output</td>\n", + " <td>id</td>\n", + " <td>\"OUTLOOK\", temperature, windy</td>\n", + " <td>None</td>\n", + " <td>class</td>\n", + " <td>\"OUTLOOK\",windy,temperature</td>\n", + " <td>\"OUTLOOK\",windy</td>\n", + " <td>temperature</td>\n", + " <td>None</td>\n", + " <td>1</td>\n", + " <td>0</td>\n", + " <td>14</td>\n", + " <td>0</td>\n", + " <td>\"Don't Play\",\"Play\"</td>\n", + " <td>text</td>\n", + " <td>0.0</td>\n", + " <td>text, boolean, double precision</td>\n", + " <td>0</td>\n", + " <td>None</td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(u'tree_train', True, u'dt_golf', u'train_output', u'id', u'\"OUTLOOK\", temperature, windy', u'None', u'class', u'\"OUTLOOK\",windy,temperature', u'\"OUTLOOK\",windy', u'temperature', None, 1, 0, 14, 0, u'\"Don\\'t Play\",\"Play\"', u'text', 0.0, u'text, boolean, double precision', 0, None)]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT * FROM train_output_summary;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "View the normalized impurity importance table using the helper function:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done.\n", + "1 rows affected.\n", + "3 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>feature</th>\n", + " <th>impurity_var_importance</th>\n", + " </tr>\n", + " <tr>\n", + " <td>temperature</td>\n", + " <td>89.3828798938</td>\n", + " </tr>\n", + " <tr>\n", + " <td>\"OUTLOOK\"</td>\n", + " <td>10.6171201062</td>\n", + " </tr>\n", + " <tr>\n", + " <td>windy</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(u'temperature', 89.3828798938288),\n", + " (u'\"OUTLOOK\"', 10.6171201061712),\n", + " (u'windy', 0.0)]" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "DROP TABLE IF EXISTS imp_output;\n", + "\n", + "SELECT madlib.get_var_importance('train_output','imp_output');\n", + "SELECT * FROM imp_output ORDER BY impurity_var_importance DESC;" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "scrolled": true + }, + "source": [ + "# 3. Predict\n", + "Predict output categories. For the purpose of this example, we use the same data that was used for training:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done.\n", + "1 rows affected.\n", + "14 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>id</th>\n", + " <th>class</th>\n", + " <th>estimated_class</th>\n", + " </tr>\n", + " <tr>\n", + " <td>1</td>\n", + " <td>Don't Play</td>\n", + " <td>Don't Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>2</td>\n", + " <td>Don't Play</td>\n", + " <td>Don't Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>3</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>4</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>5</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>6</td>\n", + " <td>Don't Play</td>\n", + " <td>Don't Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>7</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>8</td>\n", + " <td>Don't Play</td>\n", + " <td>Don't Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>9</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>10</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>11</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>12</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>13</td>\n", + " <td>Play</td>\n", + " <td>Play</td>\n", + " </tr>\n", + " <tr>\n", + " <td>14</td>\n", + " <td>Don't Play</td>\n", + " <td>Don't Play</td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(1, u\"Don't Play\", u\"Don't Play\"),\n", + " (2, u\"Don't Play\", u\"Don't Play\"),\n", + " (3, u'Play', u'Play'),\n", + " (4, u'Play', u'Play'),\n", + " (5, u'Play', u'Play'),\n", + " (6, u\"Don't Play\", u\"Don't Play\"),\n", + " (7, u'Play', u'Play'),\n", + " (8, u\"Don't Play\", u\"Don't Play\"),\n", + " (9, u'Play', u'Play'),\n", + " (10, u'Play', u'Play'),\n", + " (11, u'Play', u'Play'),\n", + " (12, u'Play', u'Play'),\n", + " (13, u'Play', u'Play'),\n", + " (14, u\"Don't Play\", u\"Don't Play\")]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "DROP TABLE IF EXISTS prediction_results;\n", + "\n", + "SELECT madlib.tree_predict('train_output', -- tree model\n", + " 'dt_golf', -- new data table\n", + " 'prediction_results', -- output table\n", + " 'response'); -- show response\n", + "\n", + "SELECT g.id, class, estimated_class FROM prediction_results p, \n", + "dt_golf g WHERE p.id = g.id ORDER BY g.id;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To display the probabilities associated with each value of the dependent variable, set the 'type' parameter to 'prob':" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done.\n", + "1 rows affected.\n", + "14 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>id</th>\n", + " <th>class</th>\n", + " <th>estimated_prob_Don't Play</th>\n", + " <th>estimated_prob_Play</th>\n", + " </tr>\n", + " <tr>\n", + " <td>1</td>\n", + " <td>Don't Play</td>\n", + " <td>1.0</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>2</td>\n", + " <td>Don't Play</td>\n", + " <td>1.0</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>3</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>4</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>5</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>6</td>\n", + " <td>Don't Play</td>\n", + " <td>1.0</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>7</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>8</td>\n", + " <td>Don't Play</td>\n", + " <td>1.0</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>9</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>10</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>11</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>12</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>13</td>\n", + " <td>Play</td>\n", + " <td>0.0</td>\n", + " <td>1.0</td>\n", + " </tr>\n", + " <tr>\n", + " <td>14</td>\n", + " <td>Don't Play</td>\n", + " <td>1.0</td>\n", + " <td>0.0</td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(1, u\"Don't Play\", 1.0, 0.0),\n", + " (2, u\"Don't Play\", 1.0, 0.0),\n", + " (3, u'Play', 0.0, 1.0),\n", + " (4, u'Play', 0.0, 1.0),\n", + " (5, u'Play', 0.0, 1.0),\n", + " (6, u\"Don't Play\", 1.0, 0.0),\n", + " (7, u'Play', 0.0, 1.0),\n", + " (8, u\"Don't Play\", 1.0, 0.0),\n", + " (9, u'Play', 0.0, 1.0),\n", + " (10, u'Play', 0.0, 1.0),\n", + " (11, u'Play', 0.0, 1.0),\n", + " (12, u'Play', 0.0, 1.0),\n", + " (13, u'Play', 0.0, 1.0),\n", + " (14, u\"Don't Play\", 1.0, 0.0)]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "DROP TABLE IF EXISTS prediction_results;\n", + "\n", + "SELECT madlib.tree_predict('train_output', -- tree model\n", + " 'dt_golf', -- new data table\n", + " 'prediction_results', -- output table\n", + " 'prob'); -- show probability\n", + "\n", + "SELECT g.id, class, \"estimated_prob_Don't Play\", \"estimated_prob_Play\" \n", + "FROM prediction_results p, dt_golf g WHERE p.id = g.id ORDER BY g.id;" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4. View tree in text format" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>tree_display</th>\n", + " </tr>\n", + " <tr>\n", + " <td>-------------------------------------<br> - Each node represented by 'id' inside ().<br> - Each internal nodes has the split condition at the end, while each<br> leaf node has a * at the end.<br> - For each internal node (i), its child nodes are indented by 1 level<br> with ids (2i+1) for True node and (2i+2) for False node.<br> - Number of (weighted) rows for each response variable inside [].'<br> The response label order is given as ['\"Don\\'t Play\"', '\"Play\"'].<br> For each leaf, the prediction is given after the '-->'<br> <br>-------------------------------------<br>(0)[5 9] \"OUTLOOK\" in {overcast}<br> (1)[0 4] * --> \"Play\"<br> (2)[5 5] temperature <= 75<br> (5)[3 5] temperature <= 65<br> (11)[1 0] * --> \"Don't Play\"<br> (12)[2 5] temperature <= 70<br> (25)[0 3] * --> \"Play\"<br> (26)[2 2] temperature <= 72<br> (53)[2 0] * --> \"Don't Play\"<br> (54)[0 2] * --> \"Play\"<br> (6)[2 0] * --> \"Don't Play\"<br><br>-------------------------------------</td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(u'-------------------------------------\\n - Each node represented by \\'id\\' inside ().\\n - Each internal nodes has the split condition at the end, while each\\n leaf node has a * at the end.\\n - For each internal node (i), its child nodes are indented by 1 level\\n with ids (2i+1) for True node and (2i+2) for False node.\\n - Number of (weighted) rows for each response variable inside [].\\'\\n The response label order is given as [\\'\"Don\\\\\\'t Play\"\\', \\'\"Play\"\\'].\\n For each leaf, the prediction is given after the \\'-->\\'\\n \\n-------------------------------------\\n(0)[5 9] \"OUTLOOK\" in {overcast}\\n (1)[0 4] * --> \"Play\"\\n (2)[5 5] temperature <= 75\\n (5)[3 5] temperature <= 65\\n (11)[1 0] * --> \"Don\\'t Play\"\\n (12)[2 5] temperature <= 70\\n (25)[0 3] * --> \"Play\"\\n (26)[2 2] temperature <= 72\\n (53)[2 0] * --> \"Don\\'t Play\"\\n (54)[0 2] * --> \"Play\"\\n (6)[2 0] * --> \"Don\\'t Play\"\\n\\n-------------------------------------',)]" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT madlib.tree_display('train_output', FALSE);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Here are some more details on how to interpret the tree display above:\n", + "\n", + "* Node numbering starts at 0 for the root node and would be contiguous 1,2...n if the tree was completely full (no pruning). Since the tree has been pruned, the node numbering is not contiguous.\n", + "\n", + "* The order of values [x y] indicates the number of weighted rows that correspond to [\"Don't play\" \"Play\"] before the node test. For example, at (root) node 0, there are 5 rows for \"Don't play\" and 9 rows for \"Play\" in the raw data.\n", + "\n", + "* If we apply the test of \"OUTLOOK\" being overcast, then the True (yes) result is leaf node 1 which is \"Play\". There are 0 \"Don't play\" rows and 4 \"Play\" rows that correspond to this case (overcast). In other words, if it is overcast, you always play golf. If it is not overcast, you may or may not play golf, depending on the rest of the tree.\n", + "\n", + "* The remaining 5 \"Don't play\" rows and 5 \"Play rows\" are then tested at node 2 on temperature<=75. The False (no) result is leaf node 6 which is \"Don't Play\". The True (yes) result proceeds to leaf node 5 to test on temperature<=65. And so on down the tree." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 5. View tree in dot format" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>tree_display</th>\n", + " </tr>\n", + " <tr>\n", + " <td>digraph \"Classification tree for dt_golf\" {<br>\t subgraph \"cluster0\"{<br>\t label=\"\"<br>\"g0_0\" [label=\"\\\"OUTLOOK\\\" <= overcast\", shape=ellipse];<br>\"g0_0\" -> \"g0_1\"[label=\"yes\"];<br>\"g0_1\" [label=\"\\\"Play\\\"\",shape=box];<br>\"g0_0\" -> \"g0_2\"[label=\"no\"];<br>\"g0_2\" [label=\"temperature <= 75\", shape=ellipse];<br>\"g0_2\" -> \"g0_5\"[label=\"yes\"];<br>\"g0_2\" -> \"g0_6\"[label=\"no\"];<br>\"g0_6\" [label=\"\\\"Don't Play\\\"\",shape=box];<br>\"g0_5\" [label=\"temperature <= 65\", shape=ellipse];<br>\"g0_5\" -> \"g0_11\"[label=\"yes\"];<br>\"g0_11\" [label=\"\\\"Don't Play\\\"\",shape=box];<br>\"g0_5\" -> \"g0_12\"[label=\"no\"];<br>\"g0_12\" [label=\"temperature <= 70\", shape=ellipse];<br>\"g0_12\" -> \"g0_25\"[label=\"yes\"];<br>\"g0_25\" [label=\"\\\"Play\\\"\",shape=box];<br>\"g0_12\" -> \"g0_26\"[label=\"no\"];<br>\"g0_26\" [label=\"temperature <= 72\", shape=ellipse];<br>\"g0_26\" -&g t; \"g0_53\"[label=\"yes\"];<br>\"g0_53\" [label=\"\\\"Don't Play\\\"\",shape=box];<br>\"g0_26\" -> \"g0_54\"[label=\"no\"];<br>\"g0_54\" [label=\"\\\"Play\\\"\",shape=box];<br><br>\t } //--- end of subgraph------------<br>} //---end of digraph--------- </td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(u'digraph \"Classification tree for dt_golf\" {\\n\\t subgraph \"cluster0\"{\\n\\t label=\"\"\\n\"g0_0\" [label=\"\\\\\"OUTLOOK\\\\\" <= overcast\", shape=ellipse];\\n\"g0_0\" -> \"g0_1\"[label=\"yes\"];\\n\"g0_1\" [label=\"\\\\\"Play\\\\\"\",shape=box];\\n\"g0_0\" -> \"g0_2\"[label=\"no\"];\\n\"g0_2\" [label=\"temperature <= 75\", shape=ellipse];\\n\"g0_2\" -> \"g0_5\"[label=\"yes\"];\\n\"g0_2\" -> \"g0_6\"[label=\"no\"];\\n\"g0_6\" [label=\"\\\\\"Don\\'t Play\\\\\"\",shape=box];\\n\"g0_5\" [label=\"temperature <= 65\", shape=ellipse];\\n\"g0_5\" -> \"g0_11\"[label=\"yes\"];\\n\"g0_11\" [label=\"\\\\\"Don\\'t Play\\\\\"\",shape=box];\\n\"g0_5\" -> \"g0_12\"[label=\"no\"];\\n\"g0_12\" [label=\"temperature <= 70\", shape=ellipse];\\n\"g0_12\" -> \"g0_25\"[label=\"yes\"];\\n\"g0_25\" [label=\"\\\\\"Play\\\\\"\",shape=box];\\n\"g0_12\" -> \"g0_26\"[label=\"no\"];\\n\"g0_26\" [label=\"temperature <= 72\", shape=ellipse];\\n\"g0_26\" -> \"g0_53\"[label=\"yes\"];\\n\"g0_53\" [la bel=\"\\\\\"Don\\'t Play\\\\\"\",shape=box];\\n\"g0_26\" -> \"g0_54\"[label=\"no\"];\\n\"g0_54\" [label=\"\\\\\"Play\\\\\"\",shape=box];\\n\\n\\t } //--- end of subgraph------------\\n} //---end of digraph--------- ',)]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT madlib.tree_display('train_output', TRUE);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 6. View tree in dot format with additional information" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 rows affected.\n" + ] + }, + { + "data": { + "text/html": [ + "<table>\n", + " <tr>\n", + " <th>tree_display</th>\n", + " </tr>\n", + " <tr>\n", + " <td>digraph \"Classification tree for dt_golf\" {<br>\t subgraph \"cluster0\"{<br>\t label=\"\"<br>\"g0_0\" [label=\"\\\"OUTLOOK\\\" <= overcast\\n impurity = 0.459184\\n samples = 14\\n value = [5 9]\\n class = \\\"Play\\\"\", shape=ellipse];<br>\"g0_0\" -> \"g0_1\"[label=\"yes\"];<br>\"g0_1\" [label=\"\\\"Play\\\"\\n impurity = 0\\n samples = 4\\n value = [0 4]\",shape=box];<br>\"g0_0\" -> \"g0_2\"[label=\"no\"];<br>\"g0_2\" [label=\"temperature <= 75\\n impurity = 0.5\\n samples = 10\\n value = [5 5]\\n class = \\\"Don't Play\\\"\", shape=ellipse];<br>\"g0_2\" -> \"g0_5\"[label=\"yes\"];<br>\"g0_2\" -> \"g0_6\"[label=\"no\"];<br>\"g0_6\" [label=\"\\\"Don't Play\\\"\\n impurity = 0\\n samples = 2\\n value = [2 0]\",shape=box];<br>\"g0_5\" [label=\"temperature <= 65\\n impurity = 0.46875\\n samples = 8\\n value = [3 5]\\n class = \\\"Play\\\"\", shape=ellipse];<br>\"g0_5\" -> \"g0_11\"[label=\"yes\"];<br>\"g0_11\" [label=\"\\\"Don't Play\\\"\ \n impurity = 0\\n samples = 1\\n value = [1 0]\",shape=box];<br>\"g0_5\" -> \"g0_12\"[label=\"no\"];<br>\"g0_12\" [label=\"temperature <= 70\\n impurity = 0.408163\\n samples = 7\\n value = [2 5]\\n class = \\\"Play\\\"\", shape=ellipse];<br>\"g0_12\" -> \"g0_25\"[label=\"yes\"];<br>\"g0_25\" [label=\"\\\"Play\\\"\\n impurity = 0\\n samples = 3\\n value = [0 3]\",shape=box];<br>\"g0_12\" -> \"g0_26\"[label=\"no\"];<br>\"g0_26\" [label=\"temperature <= 72\\n impurity = 0.5\\n samples = 4\\n value = [2 2]\\n class = \\\"Don't Play\\\"\", shape=ellipse];<br>\"g0_26\" -> \"g0_53\"[label=\"yes\"];<br>\"g0_53\" [label=\"\\\"Don't Play\\\"\\n impurity = 0\\n samples = 2\\n value = [2 0]\",shape=box];<br>\"g0_26\" -> \"g0_54\"[label=\"no\"];<br>\"g0_54\" [label=\"\\\"Play\\\"\\n impurity = 0\\n samples = 2\\n value = [0 2]\",shape=box];<br><br>\t } //--- end of subgraph------------<br>} //---end of digraph--------- </td>\n", + " </tr>\n", + "</table>" + ], + "text/plain": [ + "[(u'digraph \"Classification tree for dt_golf\" {\\n\\t subgraph \"cluster0\"{\\n\\t label=\"\"\\n\"g0_0\" [label=\"\\\\\"OUTLOOK\\\\\" <= overcast\\\\n impurity = 0.459184\\\\n samples = 14\\\\n value = [5 9]\\\\n class = \\\\\"Play\\\\\"\", shape=ellipse];\\n\"g0_0\" -> \"g0_1\"[label=\"yes\"];\\n\"g0_1\" [label=\"\\\\\"Play\\\\\"\\\\n impurity = 0\\\\n samples = 4\\\\n value = [0 4]\",shape=box];\\n\"g0_0\" -> \"g0_2\"[label=\"no\"];\\n\"g0_2\" [label=\"temperature <= 75\\\\n impurity = 0.5\\\\n samples = 10\\\\n value = [5 5]\\\\n class = \\\\\"Don\\'t Play\\\\\"\", shape=ellipse];\\n\"g0_2\" -> \"g0_5\"[label=\"yes\"];\\n\"g0_2\" -> \"g0_6\"[label=\"no\"];\\n\"g0_6\" [label=\"\\\\\"Don\\'t Play\\\\\"\\\\n impurity = 0\\\\n samples = 2\\\\n value = [2 0]\",shape=box];\\n\"g0_5\" [label=\"temperature <= 65\\\\n impurity = 0.46875\\\\n samples = 8\\\\n value = [3 5]\\\\n class = \\\\\"Play\\\\\"\", shape=ellipse];\\n\"g0_5\" -> \"g0_11\"[label=\"yes\"];\\n\"g0_11\" [label= \"\\\\\"Don\\'t Play\\\\\"\\\\n impurity = 0\\\\n samples = 1\\\\n value = [1 0]\",shape=box];\\n\"g0_5\" -> \"g0_12\"[label=\"no\"];\\n\"g0_12\" [label=\"temperature <= 70\\\\n impurity = 0.408163\\\\n samples = 7\\\\n value = [2 5]\\\\n class = \\\\\"Play\\\\\"\", shape=ellipse];\\n\"g0_12\" -> \"g0_25\"[label=\"yes\"];\\n\"g0_25\" [label=\"\\\\\"Play\\\\\"\\\\n impurity = 0\\\\n samples = 3\\\\n value = [0 3]\",shape=box];\\n\"g0_12\" -> \"g0_26\"[label=\"no\"];\\n\"g0_26\" [label=\"temperature <= 72\\\\n impurity = 0.5\\\\n samples = 4\\\\n value = [2 2]\\\\n class = \\\\\"Don\\'t Play\\\\\"\", shape=ellipse];\\n\"g0_26\" -> \"g0_53\"[label=\"yes\"];\\n\"g0_53\" [label=\"\\\\\"Don\\'t Play\\\\\"\\\\n impurity = 0\\\\n samples = 2\\\\n value = [2 0]\",shape=box];\\n\"g0_26\" -> \"g0_54\"[label=\"no\"];\\n\"g0_54\" [label=\"\\\\\"Play\\\\\"\\\\n impurity = 0\\\\n samples = 2\\\\n value = [0 2]\",shape=box];\\n\\n\\t } //--- end of subgraph------------\\n} //---end of digraph------ --- ',)]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%sql\n", + "SELECT madlib.tree_display('train_output', TRUE, TRUE);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You may wish to visualize the tree using pygraphviz or another program that can handle dot format:" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1 rows affected.\n", + "True\n" + ] + }, + { + "data": { + "image/png": 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