Run
580938

Run 580938

Task 6 (Supervised Classification) letter Uploaded 06-06-2016 by Jan van Rijn
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weka.LogitBoost_DecisionStump(6)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(6)_P100
weka.LogitBoost_DecisionStump(6)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(6)_H1.0
weka.LogitBoost_DecisionStump(6)_Z3.0
weka.LogitBoost_DecisionStump(6)_O1
weka.LogitBoost_DecisionStump(6)_E1
weka.LogitBoost_DecisionStump(6)_S1
weka.LogitBoost_DecisionStump(6)_I10
weka.LogitBoost_DecisionStump(6)_Wweka.classifiers.trees.DecisionStump

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
0.9748
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7332
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7222
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14443.4891
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0337
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.7361
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7329
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.7329
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.455
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.12
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6239
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1279.9947
UserCPU time millis
13710
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
13580
Cross-validation details (10-fold Crossvalidation)