Run
21566

Run 21566

Task 2075 (Supervised Classification) abalone Uploaded 19-06-2014 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)_I40
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
0.6771
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.228
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1373
Cross-validation details (10-fold Crossvalidation)
KB relative information score
733.4973
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0585
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.2251
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2337
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2337
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9469
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1832
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0428
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.1293[550.2336271358062984.8990916482671475.31730592400976903.01064241690561757.1857345400422]