DEVELOPMENT... OpenML
Run
164152

Run 164152

Task 3617 (Supervised Classification) fri_c4_1000_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
0.939
Per class
F measure
0.8637
Per class
Kappa
0.7229
KB relative information score
698.8169
Mean absolute error
0.1504
Mean prior absolute error
0.4928
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
0.8638
Per class
Predictive accuracy
0.864
Prior entropy
0.9896
Recall
0.864
Per class
Relative absolute error
0.3053
Root mean prior squared error
0.4964
Root mean squared error
0.3354
Root relative squared error
0.6757
SciMark benchmark
943.2817
UserCPU time millis
380
UserCPU time millis testing
10
UserCPU time millis training
370