Run
15545

Run 15545

Task 57 (Supervised Classification) ionosphere 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.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I20
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.9534
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9157
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8143
Cross-validation details (10-fold Crossvalidation)
KB relative information score
282.6886
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0866
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.9202
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9174
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9174
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1882
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2794
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5824
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
895.8588[550.40728600235831014.9881073746852474.05817848535896.21881802907471543.6215852054154]