DEVELOPMENT... OpenML
Run
162577

Run 162577

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)_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
0.5046
Per class
F measure
0.4906
Per class
Kappa
0.0162
KB relative information score
-2.3901
Mean absolute error
0.2992
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
0.491
Per class
Predictive accuracy
0.5873
Prior entropy
1.4097
Recall
0.5873
Per class
Relative absolute error
1.0995
Root mean prior squared error
0.3647
Root mean squared error
0.3902
Root relative squared error
1.0701
SciMark benchmark
938.2848