Run
89025

Run 89025

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 06-12-2014 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)_I12
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)_I14
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
0.7264
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
15.6965
Cross-validation details (10-fold Crossvalidation)
F measure
0.7788
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0967
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-3313.2771
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2509
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
0.8132
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8381
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.8381
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8979
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3529
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.944
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
752.8792
Total cost
6270460
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1717617.8103
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
374.4024
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1717243.4079
Cross-validation details (10-fold Crossvalidation)