DEVELOPMENT... OpenML
Run
164282

Run 164282

Task 3743 (Supervised Classification) fri_c2_500_25 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
0.9336
Per class
F measure
0.8523
Per class
Kappa
0.6878
KB relative information score
336.731
Mean absolute error
0.1541
Mean prior absolute error
0.4768
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
0.8538
Per class
Predictive accuracy
0.854
Prior entropy
0.9664
Recall
0.854
Per class
Relative absolute error
0.3232
Root mean prior squared error
0.4882
Root mean squared error
0.3472
Root relative squared error
0.7113
SciMark benchmark
943.2817
UserCPU time millis
400
UserCPU time millis training
400