From 8fb6df20915930b46de5c37bfbc4abfa98037b08 Mon Sep 17 00:00:00 2001
From: Nilesh Jagdish <nileshjk@cse.iitb.ac.in>
Date: Mon, 7 Dec 2020 10:55:22 +0530
Subject: [PATCH] Updated RFRegressor
---
RFRegressor/feature_importance.png | Bin 0 -> 15352 bytes
RFRegressor/rf_new_data_80est.ipynb | 208 +---------------------------
RFRegressor/rf_old_data_50est.ipynb | 154 +-------------------
3 files changed, 2 insertions(+), 360 deletions(-)
create mode 100644 RFRegressor/feature_importance.png
diff --git a/RFRegressor/feature_importance.png b/RFRegressor/feature_importance.png
new file mode 100644
index 0000000000000000000000000000000000000000..b8d107d319ab86804d341203f7bfabc582f380f2
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HcmV?d00001
diff --git a/RFRegressor/rf_new_data_80est.ipynb b/RFRegressor/rf_new_data_80est.ipynb
index 7379992..192db18 100644
--- a/RFRegressor/rf_new_data_80est.ipynb
+++ b/RFRegressor/rf_new_data_80est.ipynb
@@ -533,7 +533,7 @@
"outputs": [],
"source": [
"df = df[(df.trip_duration < 5900)]\n",
- "# df = df[(df.trip_duration > 60)]"
+ "df = df[(df.trip_duration > 60)]"
]
},
{
@@ -556,212 +556,6 @@
"df = df[(df.passenger_count > 0)]"
]
},
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 320
- },
- "id": "TvMqWf8jT1ab",
- "outputId": "7b434c36-cbbc-4245-86ce-8be38db62dfb"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>vendor_id</th>\n",
- " <th>passenger_count</th>\n",
- " <th>pickup_longitude</th>\n",
- " <th>pickup_latitude</th>\n",
- " <th>dropoff_longitude</th>\n",
- " <th>dropoff_latitude</th>\n",
- " <th>trip_duration</th>\n",
- " <th>vism</th>\n",
- " <th>fog</th>\n",
- " <th>rain</th>\n",
- " <th>snow</th>\n",
- " <th>holiday_or_not</th>\n",
- " <th>turns</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>count</th>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " <td>1.456018e+06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>mean</th>\n",
- " <td>1.534277e+00</td>\n",
- " <td>1.664016e+00</td>\n",
- " <td>-7.397352e+01</td>\n",
- " <td>4.075094e+01</td>\n",
- " <td>-7.397343e+01</td>\n",
- " <td>4.075181e+01</td>\n",
- " <td>8.348868e+02</td>\n",
- " <td>1.467787e+01</td>\n",
- " <td>6.518463e-03</td>\n",
- " <td>9.605307e-02</td>\n",
- " <td>2.387539e-02</td>\n",
- " <td>1.868590e-02</td>\n",
- " <td>7.543262e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>std</th>\n",
- " <td>4.988239e-01</td>\n",
- " <td>1.313631e+00</td>\n",
- " <td>7.088238e-02</td>\n",
- " <td>3.284235e-02</td>\n",
- " <td>7.061578e-02</td>\n",
- " <td>3.585719e-02</td>\n",
- " <td>6.491411e+02</td>\n",
- " <td>3.070585e+00</td>\n",
- " <td>1.124494e-01</td>\n",
- " <td>5.186673e-01</td>\n",
- " <td>2.773547e-01</td>\n",
- " <td>1.354132e-01</td>\n",
- " <td>4.428224e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>min</th>\n",
- " <td>1.000000e+00</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-1.219333e+02</td>\n",
- " <td>3.435970e+01</td>\n",
- " <td>-1.219333e+02</td>\n",
- " <td>3.218114e+01</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>4.000000e-01</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>2.000000e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25%</th>\n",
- " <td>1.000000e+00</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-7.399187e+01</td>\n",
- " <td>4.073737e+01</td>\n",
- " <td>-7.399133e+01</td>\n",
- " <td>4.073590e+01</td>\n",
- " <td>3.970000e+02</td>\n",
- " <td>1.450000e+01</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>5.000000e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50%</th>\n",
- " <td>2.000000e+00</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-7.398174e+01</td>\n",
- " <td>4.075411e+01</td>\n",
- " <td>-7.397975e+01</td>\n",
- " <td>4.075453e+01</td>\n",
- " <td>6.610000e+02</td>\n",
- " <td>1.610000e+01</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>6.000000e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>75%</th>\n",
- " <td>2.000000e+00</td>\n",
- " <td>2.000000e+00</td>\n",
- " <td>-7.396735e+01</td>\n",
- " <td>4.076836e+01</td>\n",
- " <td>-7.396302e+01</td>\n",
- " <td>4.076982e+01</td>\n",
- " <td>1.072000e+03</td>\n",
- " <td>1.610000e+01</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>0.000000e+00</td>\n",
- " <td>9.000000e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>max</th>\n",
- " <td>2.000000e+00</td>\n",
- " <td>9.000000e+00</td>\n",
- " <td>-6.133553e+01</td>\n",
- " <td>5.188108e+01</td>\n",
- " <td>-6.133553e+01</td>\n",
- " <td>4.392103e+01</td>\n",
- " <td>5.999000e+03</td>\n",
- " <td>1.610000e+01</td>\n",
- " <td>4.000000e+00</td>\n",
- " <td>7.000000e+00</td>\n",
- " <td>6.000000e+00</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>4.600000e+01</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " vendor_id passenger_count ... holiday_or_not turns\n",
- "count 1.456018e+06 1.456018e+06 ... 1.456018e+06 1.456018e+06\n",
- "mean 1.534277e+00 1.664016e+00 ... 1.868590e-02 7.543262e+00\n",
- "std 4.988239e-01 1.313631e+00 ... 1.354132e-01 4.428224e+00\n",
- "min 1.000000e+00 1.000000e+00 ... 0.000000e+00 2.000000e+00\n",
- "25% 1.000000e+00 1.000000e+00 ... 0.000000e+00 5.000000e+00\n",
- "50% 2.000000e+00 1.000000e+00 ... 0.000000e+00 6.000000e+00\n",
- "75% 2.000000e+00 2.000000e+00 ... 0.000000e+00 9.000000e+00\n",
- "max 2.000000e+00 9.000000e+00 ... 1.000000e+00 4.600000e+01\n",
- "\n",
- "[8 rows x 13 columns]"
- ]
- },
- "execution_count": 22,
- "metadata": {
- "tags": []
- },
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.describe()"
- ]
- },
{
"cell_type": "markdown",
"metadata": {
diff --git a/RFRegressor/rf_old_data_50est.ipynb b/RFRegressor/rf_old_data_50est.ipynb
index f11426c..6d1f7f0 100644
--- a/RFRegressor/rf_old_data_50est.ipynb
+++ b/RFRegressor/rf_old_data_50est.ipynb
@@ -306,7 +306,7 @@
"outputs": [],
"source": [
"df = df[(df.trip_duration < 5900)]\n",
- "# df = df[(df.trip_duration > 60)]"
+ "df = df[(df.trip_duration > 60)]"
]
},
{
@@ -329,158 +329,6 @@
"df = df[(df.passenger_count > 0)]"
]
},
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 320
- },
- "id": "TvMqWf8jT1ab",
- "outputId": "c9e22ea9-3cb5-4c14-b4c2-bb7b31de5062"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>vendor_id</th>\n",
- " <th>passenger_count</th>\n",
- " <th>pickup_longitude</th>\n",
- " <th>pickup_latitude</th>\n",
- " <th>dropoff_longitude</th>\n",
- " <th>dropoff_latitude</th>\n",
- " <th>trip_duration</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>count</th>\n",
- " <td>1.455957e+06</td>\n",
- " <td>1.455957e+06</td>\n",
- " <td>1.455957e+06</td>\n",
- " <td>1.455957e+06</td>\n",
- " <td>1.455957e+06</td>\n",
- " <td>1.455957e+06</td>\n",
- " <td>1.455957e+06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>mean</th>\n",
- " <td>1.534271e+00</td>\n",
- " <td>1.664020e+00</td>\n",
- " <td>-7.397352e+01</td>\n",
- " <td>4.075095e+01</td>\n",
- " <td>-7.397343e+01</td>\n",
- " <td>4.075181e+01</td>\n",
- " <td>8.346726e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>std</th>\n",
- " <td>4.988243e-01</td>\n",
- " <td>1.313639e+00</td>\n",
- " <td>7.087820e-02</td>\n",
- " <td>3.283941e-02</td>\n",
- " <td>7.060772e-02</td>\n",
- " <td>3.584790e-02</td>\n",
- " <td>6.483105e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>min</th>\n",
- " <td>1.000000e+00</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-1.219333e+02</td>\n",
- " <td>3.435970e+01</td>\n",
- " <td>-1.219333e+02</td>\n",
- " <td>3.218114e+01</td>\n",
- " <td>1.000000e+00</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25%</th>\n",
- " <td>1.000000e+00</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-7.399187e+01</td>\n",
- " <td>4.073737e+01</td>\n",
- " <td>-7.399133e+01</td>\n",
- " <td>4.073590e+01</td>\n",
- " <td>3.970000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50%</th>\n",
- " <td>2.000000e+00</td>\n",
- " <td>1.000000e+00</td>\n",
- " <td>-7.398174e+01</td>\n",
- " <td>4.075411e+01</td>\n",
- " <td>-7.397975e+01</td>\n",
- " <td>4.075453e+01</td>\n",
- " <td>6.610000e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>75%</th>\n",
- " <td>2.000000e+00</td>\n",
- " <td>2.000000e+00</td>\n",
- " <td>-7.396735e+01</td>\n",
- " <td>4.076836e+01</td>\n",
- " <td>-7.396302e+01</td>\n",
- " <td>4.076982e+01</td>\n",
- " <td>1.072000e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>max</th>\n",
- " <td>2.000000e+00</td>\n",
- " <td>9.000000e+00</td>\n",
- " <td>-6.133553e+01</td>\n",
- " <td>5.188108e+01</td>\n",
- " <td>-6.133553e+01</td>\n",
- " <td>4.392103e+01</td>\n",
- " <td>5.897000e+03</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " vendor_id passenger_count ... dropoff_latitude trip_duration\n",
- "count 1.455957e+06 1.455957e+06 ... 1.455957e+06 1.455957e+06\n",
- "mean 1.534271e+00 1.664020e+00 ... 4.075181e+01 8.346726e+02\n",
- "std 4.988243e-01 1.313639e+00 ... 3.584790e-02 6.483105e+02\n",
- "min 1.000000e+00 1.000000e+00 ... 3.218114e+01 1.000000e+00\n",
- "25% 1.000000e+00 1.000000e+00 ... 4.073590e+01 3.970000e+02\n",
- "50% 2.000000e+00 1.000000e+00 ... 4.075453e+01 6.610000e+02\n",
- "75% 2.000000e+00 2.000000e+00 ... 4.076982e+01 1.072000e+03\n",
- "max 2.000000e+00 9.000000e+00 ... 4.392103e+01 5.897000e+03\n",
- "\n",
- "[8 rows x 7 columns]"
- ]
- },
- "execution_count": 8,
- "metadata": {
- "tags": []
- },
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df.describe()"
- ]
- },
{
"cell_type": "markdown",
"metadata": {
--
2.24.1