DEVELOPMENT... OpenML
Run
163397

Run 163397

Task 3594 (Supervised Classification) analcatdata_supreme Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I40
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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
0.9899
Per class
F measure
0.9931
Per class
Kappa
0.9809
KB relative information score
3964.3737
Mean absolute error
0.0069
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9931
Per class
Predictive accuracy
0.9931
Prior entropy
0.7946
Recall
0.9931
Per class
Relative absolute error
0.019
Root mean prior squared error
0.4269
Root mean squared error
0.0831
Root relative squared error
0.1947
SciMark benchmark
942.1229
UserCPU time millis
250
UserCPU time millis training
250