DEVELOPMENT... OpenML
Run
162381

Run 162381

Task 21 (Supervised Classification) car 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
0.8719
Per class
F measure
0.5768
Per class
KB relative information score
406.8367
Mean absolute error
0.1502
Mean prior absolute error
0.229
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
0.4903
Per class
Predictive accuracy
0.7002
Prior entropy
1.2099
Recall
0.7002
Per class
Relative absolute error
0.656
Root mean prior squared error
0.3381
Root mean squared error
0.3144
Root relative squared error
0.9298
SciMark benchmark
939.7623
UserCPU time millis
30
UserCPU time millis training
30