DEVELOPMENT... OpenML
Run
162026

Run 162026

Task 3664 (Supervised Classification) fri_c0_1000_5 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)_I10
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
0.8419
Per class
F measure
0.759
Per class
Kappa
0.5309
KB relative information score
495.3836
Mean absolute error
0.2573
Mean prior absolute error
0.5
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
0.796
Per class
Predictive accuracy
0.765
Prior entropy
1
Recall
0.765
Per class
Relative absolute error
0.5146
Root mean prior squared error
0.5
Root mean squared error
0.4458
Root relative squared error
0.8917
SciMark benchmark
938.4278
UserCPU time millis
30
UserCPU time millis training
30