Run
161751

Run 161751

Task 1735 (Learning Curve) segment Uploaded 16-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12
Issue #Downvotes for this reason By


Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.9841 ± 0.0089
Per class
F measure
0.9727 ± 0.0153
Per class
Kappa
0.9682 ± 0.0178
KB relative information score
0.9706 ± 0.0165
Mean absolute error
0.0078 ± 0.0044
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9728 ± 0.015
Per class
Predictive accuracy
0.9727 ± 0.0153
Prior entropy
2.8074
Recall
0.9727 ± 0.0153
Per class
Relative absolute error
0.0318 ± 0.0178
Root mean prior squared error
0.3499
Root mean squared error
0.0883 ± 0.0265
Root relative squared error
0.2523 ± 0.0758
SciMark benchmark
1092.7668
UserCPU time millis
2350
UserCPU time millis testing
2350