Run
214709

Run 214709

Task 2146 (Supervised Classification) BNG(cmc) Uploaded 28-02-2015 by Joaquin Vanschoren
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Flow

weka.LogitBoost_DecisionStump(3)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(3)_P100
weka.LogitBoost_DecisionStump(3)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(3)_H1.0
weka.LogitBoost_DecisionStump(3)_Z3.0
weka.LogitBoost_DecisionStump(3)_O1
weka.LogitBoost_DecisionStump(3)_E1
weka.LogitBoost_DecisionStump(3)_S1
weka.LogitBoost_DecisionStump(3)_I20
weka.LogitBoost_DecisionStump(3)_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
0.7365
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5595
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3147
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12544.3454
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3659
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4307
Cross-validation details (10-fold Crossvalidation)
Number of instances
55296
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5606
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5646
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5387
Cross-validation details (10-fold Crossvalidation)
Recall
0.5646
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8494
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4268
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9197
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.9518
UserCPU time millis
7480
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
7430
Cross-validation details (10-fold Crossvalidation)