DEVELOPMENT... OpenML
Run
164223

Run 164223

Task 3689 (Supervised Classification) fri_c1_500_10 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
0.9467
Per class
F measure
0.8623
Per class
Kappa
0.7228
KB relative information score
359.6601
Mean absolute error
0.1395
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8637
Per class
Predictive accuracy
0.862
Prior entropy
0.9934
Recall
0.862
Per class
Relative absolute error
0.2815
Root mean prior squared error
0.4977
Root mean squared error
0.3277
Root relative squared error
0.6584
SciMark benchmark
943.2817
UserCPU time millis
190
UserCPU time millis testing
10
UserCPU time millis training
180