DEVELOPMENT... OpenML
Run
162162

Run 162162

Task 3799 (Supervised Classification) fri_c3_500_10 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
0.7966
Per class
F measure
0.7158
Per class
Kappa
0.4268
KB relative information score
194.9544
Mean absolute error
0.3071
Mean prior absolute error
0.4961
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
0.7157
Per class
Predictive accuracy
0.716
Prior entropy
0.9945
Recall
0.716
Per class
Relative absolute error
0.619
Root mean prior squared error
0.4981
Root mean squared error
0.4577
Root relative squared error
0.9191
SciMark benchmark
938.4285
UserCPU time millis
20
UserCPU time millis training
20