DEVELOPMENT... OpenML
Run
162781

Run 162781

Task 3701 (Supervised Classification) sleuth_case1102 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)_I20
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
0.3561
Per class
F measure
0.3996
Per class
Kappa
-0.1919
KB relative information score
-2.7601
Mean absolute error
0.5296
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3897
Per class
Predictive accuracy
0.4412
Prior entropy
0.9911
Recall
0.4412
Per class
Relative absolute error
1.0733
Root mean prior squared error
0.4965
Root mean squared error
0.6617
Root relative squared error
1.3326
SciMark benchmark
922.9039
UserCPU time millis
10
UserCPU time millis training
10