DEVELOPMENT... OpenML
Run
16506

Run 16506

Task 27 (Supervised Classification) colic 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)_I160
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
0.8577
Per class
F measure
0.8556
Per class
Kappa
0.6895
KB relative information score
250.2016
Mean absolute error
0.1448
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8554
Per class
Predictive accuracy
0.856
Prior entropy
0.9509
Recall
0.856
Per class
Relative absolute error
0.3106
Root mean prior squared error
0.4827
Root mean squared error
0.3739
Root relative squared error
0.7746
SciMark benchmark
934.5733[543.03882254134611006.7685336652797477.00655035355487898.98494494214911747.0676455404612]