DEVELOPMENT... OpenML
Run
165419

Run 165419

Task 3877 (Supervised Classification) analcatdata_dmft Uploaded 17-02-2015 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)_I160
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
0.5573
Per class
F measure
0.7188
Per class
KB relative information score
208.6578
Mean absolute error
0.1979
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6489
Per class
Predictive accuracy
0.8055
Prior entropy
0.7123
Recall
0.8055
Per class
Relative absolute error
0.6307
Root mean prior squared error
0.3958
Root mean squared error
0.4382
Root relative squared error
1.1072
SciMark benchmark
894.7455
UserCPU time millis
90
UserCPU time millis training
90