DEVELOPMENT... OpenML
Run
163726

Run 163726

Task 3923 (Supervised Classification) datatrieve 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
0.6157
Per class
F measure
0.8969
Per class
Kappa
0.232
KB relative information score
33.2102
Mean absolute error
0.0859
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8923
Per class
Predictive accuracy
0.9154
Prior entropy
0.4395
Recall
0.9154
Per class
Relative absolute error
0.5364
Root mean prior squared error
0.2784
Root mean squared error
0.2904
Root relative squared error
1.0431
SciMark benchmark
936.6206
UserCPU time millis
10
UserCPU time millis training
10