DEVELOPMENT... OpenML
Run
163007

Run 163007

Task 3892 (Supervised Classification) hiva_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
0.7188
Per class
F measure
0.9475
Per class
KB relative information score
926.0662
Mean absolute error
0.0352
Mean prior absolute error
0.0682
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9308
Per class
Predictive accuracy
0.9648
Prior entropy
0.221
Recall
0.9648
Per class
Relative absolute error
0.5167
Root mean prior squared error
0.1844
Root mean squared error
0.1877
Root relative squared error
1.018
SciMark benchmark
936.6206
UserCPU time millis
30130
UserCPU time millis testing
20
UserCPU time millis training
30110