DEVELOPMENT... OpenML
Run
163492

Run 163492

Task 3689 (Supervised Classification) fri_c1_500_10 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)_I40
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
0.9188
Per class
F measure
0.8344
Per class
Kappa
0.6676
KB relative information score
323.2725
Mean absolute error
0.1762
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
0.8377
Per class
Predictive accuracy
0.834
Prior entropy
0.9934
Recall
0.834
Per class
Relative absolute error
0.3557
Root mean prior squared error
0.4977
Root mean squared error
0.367
Root relative squared error
0.7375
SciMark benchmark
942.1229
UserCPU time millis
90
UserCPU time millis training
90