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What is Random Forest?

Random Forest is an ensemble learning method that constructs multiple decision trees during training and outputs the mode of the classes (classification) or mean prediction (regression) of the individual trees. This approach helps to improve accuracy and control over-fitting, making Random Forest robust against noise and capable of capturing complex relationships in the data. Its versatility allows it to handle various types of data, making it a popular choice in many machine learning applications.

Most Frequent Parameters

  • bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 1, n_estimators: 100 - Count: 5
  • max_depth: 20, min_samples_split: 10, n_estimators: 200 - Count: 2
  • max_depth: 20, min_samples_split: 5, n_estimators: 200 - Count: 1
  • max_depth: 20, min_samples_split: 5, n_estimators: 100 - Count: 1
  • bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 2, n_estimators: 200 - Count: 1
  • bootstrap: True, criterion: gini, max_depth: 20, max_features: sqrt, min_samples_leaf: 1, n_estimators: 200 - Count: 1
  • bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 1, n_estimators: 200 - Count: 1

Average Scores Based on Model History

  • Average Accuracy: 0.90
  • Average Precision: 0.91
  • Average Recall: 0.90
  • Average F1 Score: 0.90

Random Forest Model History


General Information
  • Model Type: RandomForest
  • Parameters: bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 1, n_estimators: 100
  • Create Date: December 20, 2024, 11:03 p.m.
  • Evaluation Date: December 20, 2024, 11:03 p.m.
  • Popularity History Timeframe: 11/21/2024 - 12/21/2024

Performance Metrics
  • Accuracy: 0.97
  • Precision: 0.97
  • Recall: 0.97
  • F1 Score: 0.96
  • Confusion Matrix: [[ 9, 3, 0], [ 0, 150, 0], [ 0, 3, 9]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 1, n_estimators: 100
  • Create Date: December 13, 2024, 11:03 p.m.
  • Evaluation Date: December 13, 2024, 11:03 p.m.
  • Popularity History Timeframe: 11/14/2024 - 12/14/2024

Performance Metrics
  • Accuracy: 0.97
  • Precision: 0.97
  • Recall: 0.97
  • F1 Score: 0.96
  • Confusion Matrix: [[ 9, 3, 0], [ 0, 150, 0], [ 0, 3, 9]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 1, n_estimators: 100
  • Create Date: December 6, 2024, 11:03 p.m.
  • Evaluation Date: December 6, 2024, 11:03 p.m.
  • Popularity History Timeframe: 11/07/2024 - 12/07/2024

Performance Metrics
  • Accuracy: 0.97
  • Precision: 0.97
  • Recall: 0.97
  • F1 Score: 0.96
  • Confusion Matrix: [[ 9, 3, 0], [ 0, 150, 0], [ 0, 3, 9]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 1, n_estimators: 100
  • Create Date: December 3, 2024, 12:09 p.m.
  • Evaluation Date: December 3, 2024, 12:09 p.m.
  • Popularity History Timeframe: 11/03/2024 - 12/03/2024

Performance Metrics
  • Accuracy: 0.97
  • Precision: 0.97
  • Recall: 0.97
  • F1 Score: 0.96
  • Confusion Matrix: [[ 9, 3, 0], [ 0, 150, 0], [ 0, 3, 9]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 1, n_estimators: 100
  • Create Date: November 29, 2024, 11:09 p.m.
  • Evaluation Date: November 29, 2024, 11:09 p.m.
  • Popularity History Timeframe: 10/31/2024 - 11/30/2024

Performance Metrics
  • Accuracy: 0.97
  • Precision: 0.97
  • Recall: 0.97
  • F1 Score: 0.96
  • Confusion Matrix: [[ 9, 3, 0], [ 0, 150, 0], [ 0, 3, 9]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 1, n_estimators: 200
  • Create Date: November 22, 2024, 11:09 p.m.
  • Evaluation Date: November 22, 2024, 11:09 p.m.
  • Popularity History Timeframe: 10/24/2024 - 11/23/2024

Performance Metrics
  • Accuracy: 0.97
  • Precision: 0.97
  • Recall: 0.97
  • F1 Score: 0.97
  • Confusion Matrix: [[ 5, 2, 0], [ 0, 156, 0], [ 0, 3, 6]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: bootstrap: True, criterion: gini, max_depth: 20, max_features: sqrt, min_samples_leaf: 1, n_estimators: 200
  • Create Date: October 19, 2024, 3:03 p.m.
  • Evaluation Date: October 19, 2024, 3:03 p.m.
  • Popularity History Timeframe: 09/19/2024 - 10/19/2024

Performance Metrics
  • Accuracy: 0.86
  • Precision: 0.86
  • Recall: 0.86
  • F1 Score: 0.85
  • Confusion Matrix: [[34, 15, 0], [ 3, 97, 0], [ 2, 3, 6]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: bootstrap: True, criterion: gini, max_depth: None, max_features: sqrt, min_samples_leaf: 2, n_estimators: 200
  • Create Date: October 18, 2024, 1:16 a.m.
  • Evaluation Date: October 18, 2024, 1:16 a.m.
  • Popularity History Timeframe: 09/18/2024 - 10/18/2024

Performance Metrics
  • Accuracy: 0.83
  • Precision: 0.84
  • Recall: 0.83
  • F1 Score: 0.83
  • Confusion Matrix: [[95, 7, 0], [13, 28, 0], [ 7, 0, 10]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: max_depth: 20, min_samples_split: 5, n_estimators: 100
  • Create Date: October 17, 2024, 11:39 p.m.
  • Evaluation Date: October 17, 2024, 11:39 p.m.
  • Popularity History Timeframe: 09/18/2024 - 10/18/2024

Performance Metrics
  • Accuracy: 0.84
  • Precision: 0.85
  • Recall: 0.84
  • F1 Score: 0.83
  • Confusion Matrix: [[97, 5, 0], [14, 27, 0], [ 7, 0, 10]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: max_depth: 20, min_samples_split: 10, n_estimators: 200
  • Create Date: October 17, 2024, 11:31 p.m.
  • Evaluation Date: October 17, 2024, 11:31 p.m.
  • Popularity History Timeframe: 09/18/2024 - 10/18/2024

Performance Metrics
  • Accuracy: 0.93
  • Precision: 0.93
  • Recall: 0.93
  • F1 Score: 0.92
  • Confusion Matrix: [[115, 0, 0], [ 1, 21, 0], [ 11, 0, 12]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: max_depth: 20, min_samples_split: 10, n_estimators: 200
  • Create Date: October 17, 2024, 7:16 p.m.
  • Evaluation Date: October 17, 2024, 7:16 p.m.
  • Popularity History Timeframe: 09/17/2024 - 10/17/2024

Performance Metrics
  • Accuracy: 0.93
  • Precision: 0.93
  • Recall: 0.93
  • F1 Score: 0.92
  • Confusion Matrix: [[115, 0, 0], [ 1, 21, 0], [ 11, 0, 12]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: max_depth: 20, min_samples_split: 5, n_estimators: 200
  • Create Date: October 17, 2024, 5:31 p.m.
  • Evaluation Date: October 17, 2024, 5:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.89
  • Precision: 0.90
  • Recall: 0.89
  • F1 Score: 0.88
  • Confusion Matrix: [[114, 1, 0], [ 2, 20, 0], [ 13, 1, 9]]

Feature Importance
  • No feature importance data available.

File Downloads

Download CSV Download Model File (pkl) Download README TXT

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: October 16, 2024, 6:38 p.m.
  • Evaluation Date: October 16, 2024, 6:38 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.89
  • Precision: 0.89
  • Recall: 0.89
  • F1 Score: 0.89

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: October 13, 2024, 11:22 a.m.
  • Evaluation Date: October 13, 2024, 11:22 a.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.89
  • Precision: 0.89
  • Recall: 0.89
  • F1 Score: 0.89

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: October 9, 2024, 12:31 a.m.
  • Evaluation Date: October 9, 2024, 12:31 a.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.94
  • Precision: 0.94
  • Recall: 0.94
  • F1 Score: 0.94

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: October 7, 2024, 9:54 a.m.
  • Evaluation Date: October 7, 2024, 9:54 a.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.93
  • Precision: 0.93
  • Recall: 0.93
  • F1 Score: 0.92

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: October 4, 2024, 7:31 p.m.
  • Evaluation Date: October 4, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.92
  • Precision: 0.93
  • Recall: 0.92
  • F1 Score: 0.92

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: October 3, 2024, 7:31 p.m.
  • Evaluation Date: October 3, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.95
  • Precision: 0.95
  • Recall: 0.95
  • F1 Score: 0.94

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: October 2, 2024, 7:31 p.m.
  • Evaluation Date: October 2, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.90
  • Precision: 0.91
  • Recall: 0.90
  • F1 Score: 0.89

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 30, 2024, 7:31 p.m.
  • Evaluation Date: September 30, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.90
  • Precision: 0.91
  • Recall: 0.90
  • F1 Score: 0.89

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 29, 2024, 7:33 p.m.
  • Evaluation Date: September 29, 2024, 7:33 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.91
  • Precision: 0.91
  • Recall: 0.91
  • F1 Score: 0.91

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 28, 2024, 7:31 p.m.
  • Evaluation Date: September 28, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.91
  • Precision: 0.91
  • Recall: 0.91
  • F1 Score: 0.90

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 27, 2024, 7:32 p.m.
  • Evaluation Date: September 27, 2024, 7:32 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.89
  • Precision: 0.90
  • Recall: 0.89
  • F1 Score: 0.88

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 26, 2024, 7:31 p.m.
  • Evaluation Date: September 26, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.83
  • Precision: 0.82
  • Recall: 0.83
  • F1 Score: 0.82

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 25, 2024, 7:31 p.m.
  • Evaluation Date: September 25, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.80
  • Precision: 0.79
  • Recall: 0.80
  • F1 Score: 0.79

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 24, 2024, 7:31 p.m.
  • Evaluation Date: September 24, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.87
  • Precision: 0.87
  • Recall: 0.87
  • F1 Score: 0.87

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 23, 2024, 7:31 p.m.
  • Evaluation Date: September 23, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.86
  • Precision: 0.85
  • Recall: 0.86
  • F1 Score: 0.86

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 22, 2024, 7:31 p.m.
  • Evaluation Date: September 22, 2024, 7:31 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.85
  • Precision: 0.86
  • Recall: 0.85
  • F1 Score: 0.85

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 21, 2024, 3:02 p.m.
  • Evaluation Date: September 21, 2024, 3:02 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.91
  • Precision: 0.91
  • Recall: 0.91
  • F1 Score: 0.91

Feature Importance
  • No feature importance data available.

File Downloads

General Information
  • Model Type: RandomForest
  • Parameters: None
  • Create Date: September 20, 2024, 7:11 p.m.
  • Evaluation Date: September 20, 2024, 7:11 p.m.
  • Popularity History Timeframe: None

Performance Metrics
  • Accuracy: 0.91
  • Precision: 0.91
  • Recall: 0.91
  • F1 Score: 0.91

Feature Importance
  • No feature importance data available.

File Downloads