DEVELOPMENT... OpenML
Run
161901

Run 161901

Task 3540 (Supervised Classification) analcatdata_boxing1 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
0.7955
Per class
F measure
0.6875
Per class
Kappa
0.3157
KB relative information score
45.0584
Mean absolute error
0.2795
Mean prior absolute error
0.4557
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8151
Per class
Predictive accuracy
0.7417
Prior entropy
0.9362
Recall
0.7417
Per class
Relative absolute error
0.6132
Root mean prior squared error
0.477
Root mean squared error
0.4736
Root relative squared error
0.9929
SciMark benchmark
938.9865