Run
9860

Run 9860

Task 41 (Supervised Classification) soybean Uploaded 22-05-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I80
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.9951
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9431
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9374
Cross-validation details (10-fold Crossvalidation)
KB relative information score
647.033
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0066
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0961
Cross-validation details (10-fold Crossvalidation)
Number of instances
683
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
0.944
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9429
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.8572
Cross-validation details (10-fold Crossvalidation)
Recall
0.9429
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0688
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2191
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0699
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3191
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.9673[562.65824500357811016.0585376856843484.5405689113658912.43998791392861769.1393263693276]