DEVELOPMENT... OpenML
Run
163733

Run 163733

Task 3889 (Supervised Classification) sylva_agnostic 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
0.9949
Per class
F measure
0.9888
Per class
Kappa
0.9013
KB relative information score
12420.0046
Mean absolute error
0.0122
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9888
Per class
Predictive accuracy
0.989
Prior entropy
0.3338
Recall
0.989
Per class
Relative absolute error
0.1052
Root mean prior squared error
0.2403
Root mean squared error
0.0982
Root relative squared error
0.4087
SciMark benchmark
934.5243
UserCPU time millis
30060
UserCPU time millis testing
40
UserCPU time millis training
30020