DEVELOPMENT... OpenML
Run
162279

Run 162279

Task 3916 (Supervised Classification) kc1-binary 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
0.796
Per class
F measure
0.7113
Per class
Kappa
0.4335
KB relative information score
60.2485
Mean absolute error
0.2799
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7455
Per class
Predictive accuracy
0.7103
Prior entropy
0.979
Recall
0.7103
Per class
Relative absolute error
0.5767
Root mean prior squared error
0.4925
Root mean squared error
0.4978
Root relative squared error
1.0107
SciMark benchmark
938.9865
UserCPU time millis
30
UserCPU time millis training
30