OpenML
22457

Run 22457

Task 22 (Supervised Classification) mfeat-zernike Uploaded 22-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I160
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.9188
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8068
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7817
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1594.1121
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0392
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
0.8105
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8035
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8035
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2177
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1955
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6515
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
909.292[557.4434863238911014.7209476623404483.6674820550281914.03067367712611576.597388678747]