Run
204941

Run 204941

Task 265 (Supervised Classification) dermatology Uploaded 27-02-2015 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_DecisionStump(12)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_DecisionStump(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I20
weka.AdaBoostM1_DecisionStump(12)_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.

22 Evaluation measures

Area under ROC curve
0.8051
Per class
Cross-validation details (33% Holdout set)
F measure
0.3841
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3679
Cross-validation details (33% Holdout set)
KB relative information score
43.9925
Cross-validation details (33% Holdout set)
Mean absolute error
0.2023
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
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
0.3082
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5333
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.5333
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7624
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.3136
Cross-validation details (33% Holdout set)
Root relative squared error
0.8633
Cross-validation details (33% Holdout set)
SciMark benchmark
939.5088