OpenML
88817

Run 88817

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 03-12-2014 by Stefan Majoor
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Flow

weka.LogitBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(2)_E1
weka.LogitBoost_DecisionStump(2)_H1.0
weka.LogitBoost_DecisionStump(2)_I10
weka.LogitBoost_DecisionStump(2)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(2)_O1
weka.LogitBoost_DecisionStump(2)_P100
weka.LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(2)_Z3.0

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.

21 Evaluation measures

Area under ROC curve
0.6746
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
16.1538
Cross-validation details (10-fold Crossvalidation)
F measure
0.7688
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0549
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-19722.1228
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2657
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2795
Cross-validation details (10-fold Crossvalidation)
Number of instances
399482
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_20, amd64, Windows 7, 6.1]
Precision
0.7884
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9507
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3632
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9715
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1468.7259
Total cost
6453140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
473
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
15472
Cross-validation details (10-fold Crossvalidation)