DEVELOPMENT... OpenML
Run
164451

Run 164451

Task 3915 (Supervised Classification) kc3 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)_I80
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
0.8107
Per class
F measure
0.8717
Per class
Kappa
0.1143
KB relative information score
97.0734
Mean absolute error
0.1018
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8612
Per class
Predictive accuracy
0.8996
Prior entropy
0.4551
Recall
0.8996
Per class
Relative absolute error
0.5931
Root mean prior squared error
0.2917
Root mean squared error
0.3071
Root relative squared error
1.0528
SciMark benchmark
876.8277
UserCPU time millis
260
UserCPU time millis training
260