DEVELOPMENT... OpenML
Run
164132

Run 164132

Task 3597 (Supervised Classification) baskball 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
0.766
Per class
F measure
0.7604
Per class
Kappa
0.5208
KB relative information score
45.4428
Mean absolute error
0.268
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7606
Per class
Predictive accuracy
0.7604
Prior entropy
0.9997
Recall
0.7604
Per class
Relative absolute error
0.5362
Root mean prior squared error
0.4999
Root mean squared error
0.4714
Root relative squared error
0.943
SciMark benchmark
936.6206
UserCPU time millis
20
UserCPU time millis training
20