Run
16480

Run 16480

Task 3 (Supervised Classification) kr-vs-kp 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_REPTree(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_REPTree(1)_I80
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9978
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9966
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9931
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3174.0649
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0034
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
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
0.9966
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9966
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9966
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0069
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0574
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1148
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.8424[565.3940416310953988.4354578339036480.4213690634573904.56866745157771745.3925929109241]