Run
23907

Run 23907

Task 14 (Supervised Classification) mfeat-fourier Uploaded 29-06-2014 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_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
0.9198
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8414
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8233
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1669.7878
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0317
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.8427
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.841
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.841
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1762
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1771
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5905
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
884.4753[533.8967436133674960.1171087695311457.6904706216674862.03219001607141608.6401661312839]