Run
124511

Run 124511

Task 268 (Supervised Classification) ecoli Uploaded 24-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_LWL_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LWL_DecisionStump(2)_I10
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9588
Per class
Cross-validation details (33% Holdout set)
Build CPU time
3.019
Cross-validation details (33% Holdout set)
Build memory
39045576
Cross-validation details (33% Holdout set)
F measure
0.761
Per class
Cross-validation details (33% Holdout set)
Kappa
0.6857
Cross-validation details (33% Holdout set)
KB relative information score
69.4045
Cross-validation details (33% Holdout set)
Mean absolute error
0.0861
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.1832
Cross-validation details (33% Holdout set)
Number of instances
110
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7658
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7727
Cross-validation details (33% Holdout set)
Prior entropy
2.2353
Cross-validation details (33% Holdout set)
Recall
0.7727
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4697
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3023
Cross-validation details (33% Holdout set)
Root mean squared error
0.1884
Cross-validation details (33% Holdout set)
Root relative squared error
0.6232
Cross-validation details (33% Holdout set)
SciMark benchmark
943.7751