Run
22416

Run 22416

Task 10 (Supervised Classification) lymph Uploaded 21-06-2014 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)_I80
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
0.8818
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8647
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7427
Cross-validation details (10-fold Crossvalidation)
KB relative information score
108.0584
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0676
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
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
0.8656
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8649
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8649
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2524
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2599
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7142
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
916.5852[561.210022948523923.7560113684783483.8854846559526870.91023277889261743.1642237068993]