DEVELOPMENT... OpenML
Run
165093

Run 165093

Task 3586 (Supervised Classification) abalone Uploaded 17-02-2015 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)_I160
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
0.8565
Per class
F measure
0.7689
Per class
Kappa
0.5391
KB relative information score
2199.4531
Mean absolute error
0.2381
Mean prior absolute error
0.5
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7721
Per class
Predictive accuracy
0.7695
Prior entropy
1
Recall
0.7695
Per class
Relative absolute error
0.4762
Root mean prior squared error
0.5
Root mean squared error
0.4482
Root relative squared error
0.8964
SciMark benchmark
936.6206
UserCPU time millis
1550
UserCPU time millis testing
30
UserCPU time millis training
1520

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