DEVELOPMENT... OpenML
Run
164298

Run 164298

Task 3759 (Supervised Classification) fri_c3_500_25 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
0.9307
Per class
F measure
0.8539
Per class
Kappa
0.7033
KB relative information score
343.6455
Mean absolute error
0.1556
Mean prior absolute error
0.4928
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8538
Per class
Predictive accuracy
0.854
Prior entropy
0.9897
Recall
0.854
Per class
Relative absolute error
0.3158
Root mean prior squared error
0.4964
Root mean squared error
0.3479
Root relative squared error
0.7009
SciMark benchmark
936.7115
UserCPU time millis
410
UserCPU time millis training
410