DEVELOPMENT... OpenML
Run
165226

Run 165226

Task 3701 (Supervised Classification) sleuth_case1102 Uploaded 17-02-2015 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)_I160
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
0.3351
Per class
F measure
0.4055
Per class
Kappa
-0.21
KB relative information score
-5.6302
Mean absolute error
0.57
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
0.4019
Per class
Predictive accuracy
0.4118
Prior entropy
0.9911
Recall
0.4118
Per class
Relative absolute error
1.1551
Root mean prior squared error
0.4965
Root mean squared error
0.7379
Root relative squared error
1.4861
SciMark benchmark
936.6206
UserCPU time millis
10
UserCPU time millis training
10