Run
16643

Run 16643

Task 2073 (Supervised Classification) yeast Uploaded 04-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_J48(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_J48(1)_I160
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.7504
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5894
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.476
Cross-validation details (10-fold Crossvalidation)
KB relative information score
773.1186
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.081
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10-fold Crossvalidation)
Number of instances
1484
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5863
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5957
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10-fold Crossvalidation)
Recall
0.5957
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5208
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.283
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0155
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.448[551.8002634079949993.5318554177143462.0231361798324890.43478087802011759.4501199261804]