DEVELOPMENT... OpenML
Run
164216

Run 164216

Task 3680 (Supervised Classification) chscase_vine1 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)_I80
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
0.8899
Per class
F measure
0.8077
Per class
Kappa
0.6131
KB relative information score
31.7796
Mean absolute error
0.1928
Mean prior absolute error
0.4972
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8077
Per class
Predictive accuracy
0.8077
Prior entropy
0.996
Recall
0.8077
Per class
Relative absolute error
0.3878
Root mean prior squared error
0.4985
Root mean squared error
0.4328
Root relative squared error
0.8682
SciMark benchmark
938.2848
UserCPU time millis
10
UserCPU time millis training
10