DEVELOPMENT... OpenML
Run
161833

Run 161833

Task 3501 (Supervised Classification) white-clover 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)_I10
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
0.5408
Per class
F measure
0.522
Per class
Kappa
0.0838
KB relative information score
0.7796
Mean absolute error
0.2797
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5029
Per class
Predictive accuracy
0.6032
Prior entropy
1.4097
Recall
0.6032
Per class
Relative absolute error
1.0279
Root mean prior squared error
0.3647
Root mean squared error
0.3969
Root relative squared error
1.0886
SciMark benchmark
938.4285
UserCPU time millis
10
UserCPU time millis training
10