DEVELOPMENT... OpenML
Run
161947

Run 161947

Task 3586 (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)_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
0.8333
Per class
F measure
0.752
Per class
Kappa
0.5056
KB relative information score
2094.2864
Mean absolute error
0.2502
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
0.756
Per class
Predictive accuracy
0.7527
Prior entropy
1
Recall
0.7527
Per class
Relative absolute error
0.5003
Root mean prior squared error
0.5
Root mean squared error
0.4741
Root relative squared error
0.9482
SciMark benchmark
938.9865
UserCPU time millis
100
UserCPU time millis testing
10
UserCPU time millis training
90