OpenML
416623

Run 416623

Task 4254 (Supervised Classification) analcatdata_authorship Uploaded 07-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I10
weka.MultiBoostAB_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
0.7385
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5398
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3818
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2114.3268
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2847
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3439
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
8410
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5435
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5839
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.7898
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5839
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8281
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4146
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3642
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8784
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
940.0055
UserCPU time millis
110
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
110
Cross-validation details (10 times 10-fold Crossvalidation)