Run
147120

Run 147120

Task 3942 (Supervised Classification) tumors_C Uploaded 02-02-2015 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_SMO_PolyKernel(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_SMO_PolyKernel(2)_I10
weka.AdaBoostM1_SMO_PolyKernel(2)_P100
weka.AdaBoostM1_SMO_PolyKernel(2)_S1
weka.AdaBoostM1_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

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
0.6245
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6715
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2636
Cross-validation details (10-fold Crossvalidation)
KB relative information score
16.6627
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3167
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4565
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
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
0.6696
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6833
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9383
Cross-validation details (10-fold Crossvalidation)
Recall
0.6833
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6938
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5627
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1797
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.5243
UserCPU time millis
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
120
Cross-validation details (10-fold Crossvalidation)