DEVELOPMENT... OpenML
Run
24628

Run 24628

Task 35 (Supervised Classification) dermatology Uploaded 14-07-2014 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
0.9888
Per class
F measure
0.9727
Per class
Kappa
0.9658
KB relative information score
352.8644
Mean absolute error
0.0094
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9736
Per class
Predictive accuracy
0.9727
Prior entropy
2.4378
Recall
0.9727
Per class
Relative absolute error
0.0352
Root mean prior squared error
0.3649
Root mean squared error
0.0954
Root relative squared error
0.2616
SciMark benchmark
594.207[345.80503341662984901.2885863823998242.48912160685595523.6596040803772957.7925636876275]