DEVELOPMENT... OpenML
Run
164214

Run 164214

Task 3671 (Supervised Classification) fri_c3_1000_50 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
0.9406
Per class
F measure
0.8639
Per class
Kappa
0.7243
KB relative information score
708.7342
Mean absolute error
0.1453
Mean prior absolute error
0.494
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8639
Per class
Predictive accuracy
0.864
Prior entropy
0.9913
Recall
0.864
Per class
Relative absolute error
0.2941
Root mean prior squared error
0.497
Root mean squared error
0.3306
Root relative squared error
0.6651
SciMark benchmark
943.2817
UserCPU time millis
1590
UserCPU time millis training
1590