Run
89052

Run 89052

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 07-12-2014 by Rogier Beckers
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Flow

weka.LogitBoost_Bagging_REPTree(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.REPTree(6)_M2
weka.REPTree(6)_V0.001
weka.REPTree(6)_N3
weka.REPTree(6)_S1
weka.REPTree(6)_L5
weka.REPTree(6)_I0.0
weka.LogitBoost_Bagging_REPTree(1)_P100
weka.LogitBoost_Bagging_REPTree(1)_L-1.7976931348623157E308
weka.LogitBoost_Bagging_REPTree(1)_H1.0
weka.LogitBoost_Bagging_REPTree(1)_Z3.0
weka.LogitBoost_Bagging_REPTree(1)_O1
weka.LogitBoost_Bagging_REPTree(1)_E1
weka.LogitBoost_Bagging_REPTree(1)_S1
weka.LogitBoost_Bagging_REPTree(1)_I18
weka.LogitBoost_Bagging_REPTree(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_REPTree(4)_P100
weka.Bagging_REPTree(4)_S1
weka.Bagging_REPTree(4)_num-slots1
weka.Bagging_REPTree(4)_I18
weka.Bagging_REPTree(4)_Wweka.classifiers.trees.REPTree

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.

22 Evaluation measures

Area under ROC curve
0.7305
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
15.5359
Cross-validation details (10-fold Crossvalidation)
F measure
0.7817
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1096
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-1091.3876
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2496
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_25, amd64, Windows 7, 6.1]
Precision
0.8136
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8388
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8388
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8929
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3519
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9414
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
775.7447
Total cost
6206300
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
3370885.2081
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
358.8023
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
3370526.4058
Cross-validation details (10-fold Crossvalidation)