DEVELOPMENT... OpenML
Run
19015

Run 19015

Task 27 (Supervised Classification) colic Uploaded 12-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_SMO_PolyKernel(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_SMO_PolyKernel(1)_I20
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

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
0.8331
Per class
F measure
0.7966
Per class
Kappa
0.5646
KB relative information score
184.7078
Mean absolute error
0.232
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
0.7972
Per class
Predictive accuracy
0.7962
Prior entropy
0.9509
Recall
0.7962
Per class
Relative absolute error
0.4977
Root mean prior squared error
0.4827
Root mean squared error
0.4096
Root relative squared error
0.8485
SciMark benchmark
946.0367[561.57136831653141014.4538012229739483.6674820550281909.90626928802961760.5845701777503]