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Run
18867

Run 18867

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 11-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(1)_I80
weka.AdaBoostM1_LMT(1)_P100
weka.AdaBoostM1_LMT(1)_S1
weka.AdaBoostM1_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.4224
Per class
F measure
0.5116
Per class
Kappa
-0.2245
KB relative information score
-5.347
Mean absolute error
0.2824
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4741
Per class
Predictive accuracy
0.5556
Prior entropy
1.0305
Recall
0.5556
Per class
Relative absolute error
0.9839
Root mean prior squared error
0.3755
Root mean squared error
0.4962
Root relative squared error
1.3215
SciMark benchmark
935.0323[553.0249675303628989.704664392416484.3219757802961889.22653619315911758.8835103978397]