Key Statistics
Comprehensive analysis of dataset features including importance scores, correlations, and statistical properties.
7
Features
1677
Samples
660.1
Avg Mean
329.32
Avg Std Dev
Figure 1: Feature Importance Comparison
Shows feature importance scores from multiple methods (Random Forest, Logistic Regression, Mutual Information).
Figure 2: Top Features by ANOVA F-value
Displays top features ranked by ANOVA F-statistic, indicating strong relationship with target variable.
Figure 3: Top Features by Mutual Information
Shows top features ranked by mutual information score, measuring dependency between feature and target.
Figure 4: Feature-Target Relationship (ANOVA vs -log10(p))
Scatter plot comparing ANOVA F-statistic vs -log10(p-value) with mutual information as bubble size.
Figure 5: Highly Correlated Feature Pairs
Horizontal bar chart showing the most highly correlated feature pairs in the dataset.
Figure 6: PCA Explained Variance
Bar chart showing explained variance ratio for principal components with cumulative variance line.