DEVELOPMENT... OpenML
Run
22358

Run 22358

Task 2075 (Supervised Classification) abalone Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I40
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6991
Per class
F measure
0.1282
Per class
Kappa
0.0977
KB relative information score
654.7359
Mean absolute error
0.0591
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
0.1137
Per class
Predictive accuracy
0.2219
Prior entropy
3.6268
Recall
0.2219
Per class
Relative absolute error
0.9569
Root mean prior squared error
0.1757
Root mean squared error
0.1718
Root relative squared error
0.9779
SciMark benchmark
926.3575[549.54025122698891010.1992026725918462.8197650416175885.32253643874941723.9057332468865]