DEVELOPMENT... OpenML
Run
163551

Run 163551

Task 3743 (Supervised Classification) fri_c2_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
0.9103
Per class
F measure
0.8229
Per class
Kappa
0.6267
KB relative information score
303.3802
Mean absolute error
0.1851
Mean prior absolute error
0.4768
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
0.8228
Per class
Predictive accuracy
0.824
Prior entropy
0.9664
Recall
0.824
Per class
Relative absolute error
0.3882
Root mean prior squared error
0.4882
Root mean squared error
0.3784
Root relative squared error
0.7752
SciMark benchmark
911.3823
UserCPU time millis
220
UserCPU time millis training
220