DEVELOPMENT... OpenML
Run
21857

Run 21857

Task 27 (Supervised Classification) colic Uploaded 20-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(1)_I80
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.831
Per class
F measure
0.7977
Per class
Kappa
0.5698
KB relative information score
200.5815
Mean absolute error
0.2057
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
0.8006
Per class
Predictive accuracy
0.7962
Prior entropy
0.9509
Recall
0.7962
Per class
Relative absolute error
0.4412
Root mean prior squared error
0.4827
Root mean squared error
0.4412
Root relative squared error
0.914
SciMark benchmark
941.6475[547.81426873147531012.5880246437401483.449727694041908.32989414330441756.0557934247322]