DEVELOPMENT... OpenML
Run
163515

Run 163515

Task 3712 (Supervised Classification) wind 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
0.9234
Per class
F measure
0.8307
Per class
Kappa
0.6601
KB relative information score
4344.4043
Mean absolute error
0.1685
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8308
Per class
Predictive accuracy
0.8307
Prior entropy
0.9969
Recall
0.8307
Per class
Relative absolute error
0.3384
Root mean prior squared error
0.4989
Root mean squared error
0.3858
Root relative squared error
0.7733
SciMark benchmark
936.6206
UserCPU time millis
970
UserCPU time millis testing
20
UserCPU time millis training
950