DEVELOPMENT... OpenML
Run
163257

Run 163257

Task 2272 (Supervised Classification) meta_all.arff 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
0.4459
Per class
F measure
0.4356
Per class
Kappa
-0.0262
KB relative information score
-5.673
Mean absolute error
0.237
Mean prior absolute error
0.2065
Number of instances
71
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3716
Per class
Predictive accuracy
0.5493
Prior entropy
1.9094
Recall
0.5493
Per class
Relative absolute error
1.1476
Root mean prior squared error
0.317
Root mean squared error
0.348
Root relative squared error
1.0977
SciMark benchmark
911.0478