Run
1673618

Run 1673618

Task 14971 (Supervised Classification) Click_prediction_small Uploaded 22-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_LMT(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.LMT(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_W0.0
weka.AdaBoostM1_LMT(3)_P100
weka.AdaBoostM1_LMT(3)_S1
weka.AdaBoostM1_LMT(3)_I10
weka.AdaBoostM1_LMT(3)_Wweka.classifiers.trees.LMT

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.6067
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7641
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1056
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1365.115
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2182
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.751
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7816
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541
Cross-validation details (10-fold Crossvalidation)
Recall
0.7816
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7789
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.441
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1785
Cross-validation details (10-fold Crossvalidation)