DEVELOPMENT... OpenML
Run
89025

Run 89025

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 06-12-2014 by Bennett
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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
Average cost
15.6965
F measure
0.7788
Per class
Kappa
0.0967
KB relative information score
-3313.2771
Mean absolute error
0.2509
Mean prior absolute error
0.2795
Number of instances
399482
Per class
OS information
[Oracle Corporation, 1.8.0_25, amd64, Windows 7, 6.1]
Precision
0.8132
Per class
Predictive accuracy
0.8381
Prior entropy
0.653
Recall
0.8381
Per class
Relative absolute error
0.8979
Root mean prior squared error
0.3738
Root mean squared error
0.3529
Root relative squared error
0.944
SciMark benchmark
752.8792
Total cost
6270460
UserCPU time millis
1717617.8103
UserCPU time millis testing
374.4024
UserCPU time millis training
1717243.4079