DEVELOPMENT... OpenML
Run
164991

Run 164991

Task 3501 (Supervised Classification) white-clover 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
0.5054
Per class
F measure
0.4617
Per class
Kappa
-0.0328
KB relative information score
-2.9444
Mean absolute error
0.3093
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
0.4372
Per class
Predictive accuracy
0.5714
Prior entropy
1.4097
Recall
0.5714
Per class
Relative absolute error
1.1367
Root mean prior squared error
0.3647
Root mean squared error
0.3898
Root relative squared error
1.0689
SciMark benchmark
911.3823
UserCPU time millis
10
UserCPU time millis training
10