DEVELOPMENT... OpenML
Run
165395

Run 165395

Task 3854 (Supervised Classification) car 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
0.9887
Per class
F measure
0.9427
Per class
Kappa
0.8635
KB relative information score
1450.4348
Mean absolute error
0.0659
Mean prior absolute error
0.4199
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9427
Per class
Predictive accuracy
0.9427
Prior entropy
0.8813
Recall
0.9427
Per class
Relative absolute error
0.1569
Root mean prior squared error
0.4582
Root mean squared error
0.1972
Root relative squared error
0.4303
SciMark benchmark
940.2922
UserCPU time millis
290
UserCPU time millis testing
10
UserCPU time millis training
280