DEVELOPMENT... OpenML
Run
15864

Run 15864

Task 9 (Supervised Classification) autos Uploaded 04-06-2014 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)_I80
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
0.8537
Per class
F measure
0.5869
Per class
Kappa
0.459
KB relative information score
99.774
Mean absolute error
0.1325
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5979
Per class
Predictive accuracy
0.5951
Prior entropy
2.3268
Recall
0.5951
Per class
Relative absolute error
0.5999
Root mean prior squared error
0.3318
Root mean squared error
0.2764
Root relative squared error
0.833
SciMark benchmark
943.8246[567.60190887821451014.7209476623404475.52784454289576902.38899339674911758.8835103978397]