Model Insights
Machine Learning Performance Dashboard
Model Overview
Model Type
Random Forest Classifier
Estimators
100
Max Depth
Unlimited
Max Features
sqrt
Class Weight
balanced
Features
909
Accuracy
0
Validation Set
ROC-AUC
0
Area Under Curve
F1 Score
0
Harmonic Mean
Precision
0
Positive Predictions
Recall
0
True Positive Rate
Feature Importance
Confusion Matrix
ROC Curve
Dataset Information
Source
Kaggle F1 Pit Stop Dataset
Task Type
Binary Classification
Target Variable
PitNextLap
Train/Val Split
80/20 Stratified
Engineered Features
Compound_Hardness
Tyre_Stress
Degradation_Rate
Position_Pressure
Stops_So_Far
Compound_x_TyreLife
RaceProgress
LapTime_Delta
Position_Change