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> source('~/RProject/mowRandomForest/scripts/50K-best-mowRandomForest.R')
✔ checking for file ‘/Users/BittenPear/RProject/mowRandomForest/DESCRIPTION’ ...
─ preparing ‘mowRandomForest’:
✔ checking DESCRIPTION meta-information ...
─ checking for LF line-endings in source and make files and shell scripts
─ checking for empty or unneeded directories
─ looking to see if a ‘data/datalist’ file should be added
─ building ‘mowRandomForest_0.0.0.9000.tar.gz’
Running /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL \
/var/folders/59/v2nv4m3d7wd0h4rfx3z28q9h0000gn/T//Rtmp6jxLnf/mowRandomForest_0.0.0.9000.tar.gz \
--install-tests
* installing to library ‘/Library/Frameworks/R.framework/Versions/3.6/Resources/library’
* installing *source* package ‘mowRandomForest’ ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** byte-compile and prepare package for lazy loading
No man pages found in package ‘mowRandomForest’
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (mowRandomForest)
[1] " ======== COMPLEXITY TEST ========"
[1] "ldrzew subset z"
[1] "20 0.6 0.3"
[1] "complexity 0.1 0.05 0.01 0.005 0.001 0.0005"
[1] "complexity"
[1] 0.05
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10629 542
2 1707 1776
Accuracy : 0.8465
95% CI : (0.8406, 0.8523)
No Information Rate : 0.8418
P-Value [Acc > NIR] : 0.06005
Kappa : 0.5214
Mcnemar's Test P-Value : < 2e-16
Sensitivity : 0.8616
Specificity : 0.7662
Pos Pred Value : 0.9515
Neg Pred Value : 0.5099
Prevalence : 0.8418
Detection Rate : 0.7253
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8139
'Positive' Class : 1
użytkownik system upłynęło
3.766 0.263 24.232
[1] "complexity"
[1] 0.01
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10642 529
2 1686 1797
Accuracy : 0.8488
95% CI : (0.8429, 0.8546)
No Information Rate : 0.8413
P-Value [Acc > NIR] : 0.006006
Kappa : 0.5291
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8632
Specificity : 0.7726
Pos Pred Value : 0.9526
Neg Pred Value : 0.5159
Prevalence : 0.8413
Detection Rate : 0.7262
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8179
'Positive' Class : 1
użytkownik system upłynęło
4.447 0.463 24.482
[1] "complexity"
[1] 0.005
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10567 604
2 1574 1909
Accuracy : 0.8514
95% CI : (0.8455, 0.8571)
No Information Rate : 0.8285
P-Value [Acc > NIR] : 4.139e-14
Kappa : 0.5464
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8704
Specificity : 0.7596
Pos Pred Value : 0.9459
Neg Pred Value : 0.5481
Prevalence : 0.8285
Detection Rate : 0.7211
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8150
'Positive' Class : 1
użytkownik system upłynęło
3.924 0.298 24.290
[1] "complexity"
[1] 0.001
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10606 565
2 1617 1866
Accuracy : 0.8511
95% CI : (0.8452, 0.8568)
No Information Rate : 0.8341
P-Value [Acc > NIR] : 1.103e-08
Kappa : 0.5414
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8677
Specificity : 0.7676
Pos Pred Value : 0.9494
Neg Pred Value : 0.5357
Prevalence : 0.8341
Detection Rate : 0.7238
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8176
'Positive' Class : 1
użytkownik system upłynęło
4.411 0.425 24.650
[1] "complexity"
[1] 5e-04
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10752 419
2 1801 1682
Accuracy : 0.8485
95% CI : (0.8426, 0.8543)
No Information Rate : 0.8566
P-Value [Acc > NIR] : 0.9974
Kappa : 0.5158
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.8565
Specificity : 0.8006
Pos Pred Value : 0.9625
Neg Pred Value : 0.4829
Prevalence : 0.8566
Detection Rate : 0.7337
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8285
'Positive' Class : 1
użytkownik system upłynęło
4.212 0.312 24.138
[1] " ======== SUBSET RATIO TEST ========"
[1] "ldrzew z comlexity"
[1] "20 0.3 0.01"
[1] "subset 0.1 0.2 0.4 0.6 0.8"
[1] "subset"
[1] 0.1
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10603 568
2 1708 1775
Accuracy : 0.8447
95% CI : (0.8387, 0.8505)
No Information Rate : 0.8401
P-Value [Acc > NIR] : 0.06653
Kappa : 0.517
Mcnemar's Test P-Value : < 2e-16
Sensitivity : 0.8613
Specificity : 0.7576
Pos Pred Value : 0.9492
Neg Pred Value : 0.5096
Prevalence : 0.8401
Detection Rate : 0.7236
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8094
'Positive' Class : 1
użytkownik system upłynęło
2.982 0.142 7.757
[1] "subset"
[1] 0.2
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10607 564
2 1652 1831
Accuracy : 0.8488
95% CI : (0.8429, 0.8545)
No Information Rate : 0.8366
P-Value [Acc > NIR] : 2.83e-05
Kappa : 0.5324
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8652
Specificity : 0.7645
Pos Pred Value : 0.9495
Neg Pred Value : 0.5257
Prevalence : 0.8366
Detection Rate : 0.7238
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8149
'Positive' Class : 1
użytkownik system upłynęło
3.143 0.169 10.558
[1] "subset"
[1] 0.4
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10622 549
2 1627 1856
Accuracy : 0.8515
95% CI : (0.8456, 0.8572)
No Information Rate : 0.8359
P-Value [Acc > NIR] : 1.224e-07
Kappa : 0.5414
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8672
Specificity : 0.7717
Pos Pred Value : 0.9509
Neg Pred Value : 0.5329
Prevalence : 0.8359
Detection Rate : 0.7249
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8194
'Positive' Class : 1
użytkownik system upłynęło
3.507 0.226 16.740
[1] "subset"
[1] 0.6
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10628 543
2 1684 1799
Accuracy : 0.848
95% CI : (0.8421, 0.8538)
No Information Rate : 0.8402
P-Value [Acc > NIR] : 0.004715
Kappa : 0.5273
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8632
Specificity : 0.7681
Pos Pred Value : 0.9514
Neg Pred Value : 0.5165
Prevalence : 0.8402
Detection Rate : 0.7253
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8157
'Positive' Class : 1
użytkownik system upłynęło
4.284 0.425 24.754
[1] "subset"
[1] 0.8
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10644 527
2 1719 1764
Accuracy : 0.8467
95% CI : (0.8408, 0.8525)
No Information Rate : 0.8437
P-Value [Acc > NIR] : 0.1557
Kappa : 0.5206
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.8610
Specificity : 0.7700
Pos Pred Value : 0.9528
Neg Pred Value : 0.5065
Prevalence : 0.8437
Detection Rate : 0.7264
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8155
'Positive' Class : 1
użytkownik system upłynęło
5.077 0.471 31.752
[1] " ======== l DRZEW TEST ========"
[1] "z subset comlexity"
[1] "0.3 0.6 0.01"
[1] "l drzew 10 20 40 50 100 200"
[1] "tree numbers"
[1] 10
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10625 546
2 1695 1788
Accuracy : 0.8471
95% CI : (0.8411, 0.8529)
No Information Rate : 0.8407
P-Value [Acc > NIR] : 0.018
Kappa : 0.524
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.8624
Specificity : 0.7661
Pos Pred Value : 0.9511
Neg Pred Value : 0.5134
Prevalence : 0.8407
Detection Rate : 0.7251
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8142
'Positive' Class : 1
użytkownik system upłynęło
3.320 0.171 12.901
[1] "tree numbers"
[1] 20
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10629 542
2 1676 1807
Accuracy : 0.8486
95% CI : (0.8427, 0.8544)
No Information Rate : 0.8397
P-Value [Acc > NIR] : 0.001546
Kappa : 0.5296
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8638
Specificity : 0.7693
Pos Pred Value : 0.9515
Neg Pred Value : 0.5188
Prevalence : 0.8397
Detection Rate : 0.7253
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8165
'Positive' Class : 1
użytkownik system upłynęło
3.896 0.282 23.770
[1] "tree numbers"
[1] 40
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10629 542
2 1678 1805
Accuracy : 0.8485
95% CI : (0.8426, 0.8543)
No Information Rate : 0.8398
P-Value [Acc > NIR] : 0.002066
Kappa : 0.5291
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8637
Specificity : 0.7691
Pos Pred Value : 0.9515
Neg Pred Value : 0.5182
Prevalence : 0.8398
Detection Rate : 0.7253
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8164
'Positive' Class : 1
użytkownik system upłynęło
6.499 0.598 44.216
[1] "tree numbers"
[1] 50
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10628 543
2 1680 1803
Accuracy : 0.8483
95% CI : (0.8424, 0.8541)
No Information Rate : 0.8399
P-Value [Acc > NIR] : 0.002743
Kappa : 0.5284
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8635
Specificity : 0.7685
Pos Pred Value : 0.9514
Neg Pred Value : 0.5177
Prevalence : 0.8399
Detection Rate : 0.7253
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8160
'Positive' Class : 1
użytkownik system upłynęło
6.357 0.600 55.133
[1] "tree numbers"
[1] 100
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10633 538
2 1678 1805
Accuracy : 0.8488
95% CI : (0.8429, 0.8545)
No Information Rate : 0.8401
P-Value [Acc > NIR] : 0.002053
Kappa : 0.5297
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8637
Specificity : 0.7704
Pos Pred Value : 0.9518
Neg Pred Value : 0.5182
Prevalence : 0.8401
Detection Rate : 0.7256
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8170
'Positive' Class : 1
użytkownik system upłynęło
11.627 1.318 109.635
[1] "tree numbers"
[1] 200
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10630 541
2 1678 1805
Accuracy : 0.8486
95% CI : (0.8427, 0.8543)
No Information Rate : 0.8399
P-Value [Acc > NIR] : 0.002062
Kappa : 0.5293
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8637
Specificity : 0.7694
Pos Pred Value : 0.9516
Neg Pred Value : 0.5182
Prevalence : 0.8399
Detection Rate : 0.7254
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8165
'Positive' Class : 1
użytkownik system upłynęło
22.650 3.168 225.987
[1] " ======== Z RATIO TEST ========"
[1] "ldrzew subset comlexity"
[1] "20 0.6 0.01"
[1] "z ratio 0.6, 0.3, 0.1"
[1] "z ratio"
[1] 0.6
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10629 542
2 1679 1804
Accuracy : 0.8484
95% CI : (0.8425, 0.8542)
No Information Rate : 0.8399
P-Value [Acc > NIR] : 0.002381
Kappa : 0.5288
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8636
Specificity : 0.7690
Pos Pred Value : 0.9515
Neg Pred Value : 0.5179
Prevalence : 0.8399
Detection Rate : 0.7253
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8163
'Positive' Class : 1
użytkownik system upłynęło
4.067 0.375 26.207
[1] "z ratio"
[1] 0.3
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 10624 547
2 1656 1827
Accuracy : 0.8497
95% CI : (0.8438, 0.8554)
No Information Rate : 0.838
P-Value [Acc > NIR] : 5.711e-05
Kappa : 0.5341
Mcnemar's Test P-Value : < 2.2e-16
Sensitivity : 0.8651
Specificity : 0.7696
Pos Pred Value : 0.9510
Neg Pred Value : 0.5245
Prevalence : 0.8380
Detection Rate : 0.7250
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8174
'Positive' Class : 1
użytkownik system upłynęło
4.122 0.340 24.784
[1] "z ratio"
[1] 0.1
Confusion Matrix and Statistics
Reference
Prediction 1 2
1 11041 130
2 2836 647
Accuracy : 0.7976
95% CI : (0.791, 0.8041)
No Information Rate : 0.947
P-Value [Acc > NIR] : 1
Kappa : 0.2377
Mcnemar's Test P-Value : <2e-16
Sensitivity : 0.7956
Specificity : 0.8327
Pos Pred Value : 0.9884
Neg Pred Value : 0.1858
Prevalence : 0.9470
Detection Rate : 0.7534
Detection Prevalence : 0.7623
Balanced Accuracy : 0.8142
'Positive' Class : 1
użytkownik system upłynęło
4.020 0.313 18.308