学生不及格预测：预测学生不符合在线电子学习课程通过标准的可能性
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2021-02-15
13:27:54
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student-fail-prediction-master.zip （71个子文件） 
student-fail-prediction-master models 
XtremeGradientBoosting_precision.pkl 649KB rfecv_precision.pkl 6.11MB XtremeGradientBoosting_accuracy.pkl 549KB RandomForestClassifier__roc_auc.pkl 432KB RandomForestClassifier__precision.pklOLD 437KB RandomForestClassifier__accuracy.pkl 429KB rfecv_accuracy.pkl 7.38MB XtremeGradientBoosting_precision.pklOLD 946KB rfecv_roc_auc.pkl 5.05MB XtremeGradientBoosting_roc_auc.pkl 1.59MB
Model Summary.txt 347B RandomForestClassifier__precision.pkl 438KB environment.yml 56B LICENSE 1KB .gitignore 1KB README.md 2KB notebooks Data Wrangling and EDA.ipynb 1.53MB src __init__.py 0B MyAutoEDA.py 9KB Pre-Processing and Modeling.ipynb 272KB .gitkeep 0B reports 
Presentation.pdf 398KB fig 
Distribution Skewness of max_daily_participations.png 44KB Correlation_Matrix.png 132KB Distribution Skewness of median_hours_with_views_per_day.png 48KB Distribution Skewness of max_hours_with_views_per_day.png 48KB XtremeGradientBoosting_accuracy - Confusion Matrix predict_proba.png 25KB Distribution Skewness of median_views_per_hour.png 42KB Feature Selection Strategy Comparison - precision.png 11KB RandomForestClassifier__roc_auc - Confusion Matrix predict.png 24KB Feature Selection Strategy Comparison - roc_auc.png 11KB Comparison ROC - accuracy.png 31KB Distribution Skewness of days_with_participations.png 51KB Outcome Variable.png 30KB RandomForestClassifier__precision - Confusion Matrix predict_proba.png 24KB Recursive Feature Elimination with Cross-Validation - roc_auc.png 24KB Comparison ROC - precision.png 29KB XtremeGradientBoosting_precision - Confusion Matrix predict_proba.png 24KB Comparison ROC - roc_auc.png 29KB RFECV - Feature Importances - precision.png 13KB Distribution Skewness of student_id.png 47KB RFECV - Feature Importances - roc_auc.png 27KB Recursive Feature Elimination with Cross-Validation - accuracy.png 38KB XtremeGradientBoosting_precision - Confusion Matrix predict.png 21KB XtremeGradientBoosting_accuracy - Confusion Matrix predict.png 21KB RandomForestClassifier__accuracy - Confusion Matrix predict_proba.png 25KB Summary_Statistics.png 78KB Distribution Skewness of max_views_per_hour.png 43KB Distribution Skewness of tot_participations.png 48KB Feature Selection Strategy Comparison - accuracy.png 16KB Recursive Feature Elimination with Cross-Validation - precision.png 25KB Distribution Skewness of tot_page_views.png 47KB Missing_Values_Summary.png 20KB Outliers.png 70KB RandomForestClassifier__precision - Confusion Matrix predict.png 24KB Distribution Skewness of avg_views_per_hour.png 45KB Distribution Skewness of hours_with_views.png 49KB Distribution Skewness of median_daily_views.png 40KB Distribution Skewness of outcome.png 29KB Distribution Skewness of average_daily_participations.png 39KB XtremeGradientBoosting_roc_auc - Confusion Matrix predict_proba.png 25KB RFECV - Feature Importances - accuracy.png 21KB RandomForestClassifier__roc_auc - Confusion Matrix predict_proba.png 24KB Distribution Skewness of avg_hours_with_views_per_day.png 48KB Distribution Skewness of days_with_views.png 45KB Distribution Skewness of median_daily_participations.png 37KB RandomForestClassifier__accuracy - Confusion Matrix predict.png 24KB XtremeGradientBoosting_roc_auc - Confusion Matrix predict.png 21KB Distribution Skewness of max_daily_views.png 42KB Distribution Skewness of average_daily_views.png 50KB white_paper.md 11KB
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