DEVELOPMENT... OpenML
Run
162978

Run 162978

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)_I20
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
0.8635
Per class
F measure
0.7717
Per class
Kappa
0.5463
KB relative information score
1863.5057
Mean absolute error
0.2331
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
0.7828
Per class
Predictive accuracy
0.7739
Prior entropy
0.9998
Recall
0.7739
Per class
Relative absolute error
0.4664
Root mean prior squared error
0.4999
Root mean squared error
0.4301
Root relative squared error
0.8603
SciMark benchmark
934.5243
UserCPU time millis
16620
UserCPU time millis testing
10
UserCPU time millis training
16610