DEVELOPMENT... OpenML
Run
162254

Run 162254

Task 3891 (Supervised Classification) gina_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)_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
0.8391
Per class
F measure
0.7326
Per class
Kappa
0.4738
KB relative information score
1626.7221
Mean absolute error
0.2664
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.756
Per class
Predictive accuracy
0.7382
Prior entropy
0.9998
Recall
0.7382
Per class
Relative absolute error
0.533
Root mean prior squared error
0.4999
Root mean squared error
0.4717
Root relative squared error
0.9436
SciMark benchmark
938.4278
UserCPU time millis
8410
UserCPU time millis testing
10
UserCPU time millis training
8400