DEVELOPMENT... OpenML
Run
162278

Run 162278

Task 3915 (Supervised Classification) kc3 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
0.8033
Per class
F measure
0.8758
Per class
Kappa
0.1313
KB relative information score
109.5707
Mean absolute error
0.0959
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8745
Per class
Predictive accuracy
0.9061
Prior entropy
0.4551
Recall
0.9061
Per class
Relative absolute error
0.5588
Root mean prior squared error
0.2917
Root mean squared error
0.3021
Root relative squared error
1.0356
SciMark benchmark
938.4278
UserCPU time millis
60
UserCPU time millis training
60