DEVELOPMENT... OpenML
Run
162496

Run 162496

Task 2075 (Supervised Classification) abalone 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
0.6312
Per class
F measure
0.0877
Per class
Kappa
0.0778
KB relative information score
578.2535
Mean absolute error
0.0595
Mean prior absolute error
0.0618
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
0.0557
Per class
Predictive accuracy
0.2109
Prior entropy
3.6268
Recall
0.2109
Per class
Relative absolute error
0.9634
Root mean prior squared error
0.1757
Root mean squared error
0.1726
Root relative squared error
0.982
SciMark benchmark
938.4285
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20