DEVELOPMENT... OpenML
Run
162104

Run 162104

Task 3742 (Supervised Classification) fri_c4_100_10 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)_I10
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
0.8009
Per class
F measure
0.7202
Per class
Kappa
0.4393
KB relative information score
44.706
Mean absolute error
0.2759
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.721
Per class
Predictive accuracy
0.72
Prior entropy
0.9975
Recall
0.72
Per class
Relative absolute error
0.5538
Root mean prior squared error
0.4991
Root mean squared error
0.4864
Root relative squared error
0.9745
SciMark benchmark
938.9865