DEVELOPMENT... OpenML
Run
164017

Run 164017

Task 3498 (Supervised Classification) pasture 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
0.9039
Per class
F measure
0.7778
Per class
Kappa
0.6667
KB relative information score
24.9203
Mean absolute error
0.1508
Mean prior absolute error
0.4444
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7778
Per class
Predictive accuracy
0.7778
Prior entropy
1.585
Recall
0.7778
Per class
Relative absolute error
0.3394
Root mean prior squared error
0.4714
Root mean squared error
0.3559
Root relative squared error
0.7549
SciMark benchmark
936.6206
UserCPU time millis
20
UserCPU time millis training
20