DEVELOPMENT... OpenML
Run
163565

Run 163565

Task 3759 (Supervised Classification) fri_c3_500_25 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
0.9077
Per class
F measure
0.8155
Per class
Kappa
0.6248
KB relative information score
307.0966
Mean absolute error
0.1906
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
0.8156
Per class
Predictive accuracy
0.816
Prior entropy
0.9897
Recall
0.816
Per class
Relative absolute error
0.3868
Root mean prior squared error
0.4964
Root mean squared error
0.3831
Root relative squared error
0.7717
SciMark benchmark
936.6206
UserCPU time millis
200
UserCPU time millis training
200