Running the SMLR application

To run the SMLR application, open up a command prompt or shell and type:

java -jar smlr.jar

If your JVM is running in client mode, you may wish to switch it to run in server mode as it will likely run much faster when it comes time to learn a classifier. To do this, type the following instead:

java -server -jar smlr.jar

To get a more complete listing of the command line options, type:

java -jar smlr.jar -help

On at least Windows and Mac OS X, the jar file can be run by simply double clicking on the file (on Windows, this assumes javaw is installed and correctly configured). On Mac OS X, you may prefer to use the included SMLR application bundle instead of the jar file because it sets the server flag and does a few Mac-specific things. You can drag this bundle wherever you like (e.g., Applications folder, then optionally the Dock).

Screenshots

Below, we walk through an example of running SMLR to learn a classifier from a training set and then applying the classifier to label an unlabeled data set. The options available at each step are described when you click on the question mark buttons beside the relevant area, so the choices are not fully described here: this example only serves to show how SMLR looks in action.

First, you tell SMLR you'd like to learn a classifier for subsequent use on unlabeled data. Then you load the appropriate files and indicate which column contains the class labels, if needed.

Then you can examine your data to make sure it was loaded correctly, and if you desire, you can delete specific rows or columns from either data file.

Next, you can choose various options that control the forms of the specific classifiers that the SMLR algorithm will learn.

Then you can review all the various learning tasks that you have specified, and can deselect tests to save time if you wish. You can save the settings to a file for future loading into the SMLR GUI, or for running the tasks on another computer (perhaps from the command line). Finally, you can specify a directory to which the SMLR output files will be saved to. SMLR will generate two output files (a log file and a summary file) for each test that has been selected in the GUI.

To see the results of the tasks, open the output file you specified.

Command used to run task:   -behavior unlabeled 
                            -training "C:\crabData.txt" 
                            -unlabeled "C:\crabTestData.txt" 
                            -saveto "C:\output" 
                            -lambda 0.01 
                            -convergencetol 1.0E-4 
                            -killthreshold 1.0E-6 
                            -maxiterations 10000 
                            -kernel rbf 
                            -kernelparam 5.2 
                            -prior laplacian 
                            -algorithm component 
                            -overrelaxed false 
                            -cacheexp true 
                            -cachekernel true 
                            -bias 1.0 
                            -normalize true 
                            -deletecolumnstrain 1 
                            -deletecolumnsunlabeled 1 
                            -choosecolumn first 
                            -displayweights false 
                            -displayiterations true 
                            -displaybasisused true 
                            -displaytime true 
                            -displayprobabilities true 
                            -displayclassifications true 
                            -displaynumwrong true 
                            -displaynumcorrect true 
                            -displaypercentage true 
                            -displaymisclassifications true 
                            -displaytotalcorrect true 
                            -displaytotalwrong true 
                            -displaytotalpercentage true 
                            -displayaverageweights false 
                            -displayweightcounts false 
                            -displayaverageweightcounts false 
                            -displayconfusionmatrix true 
                            -displayroccurve true

Learning task started.
Overall test pattern: unlabeled
File name: C:\crabData.txt
Lambda = 0.01
Convergence tolerance = 1.0E-4
Kill threshold = 1.0E-6
Kernel parameter = 5.2
Max iterations = 10000
Kernel: rbf
Prior: laplacian
Method: component
Caching exponentials
Caching kernel functions
Added bias term of 1.0
Normalizing data
Modifications to training data: 
Deleted columns (zero-based): [ 0 ]

Modifications to unlabeled data: 
Deleted columns (zero-based): [ 0 ]


Time Elapsed: 43.152
Iterations: 5207
Total basis functions used: 200

Using classifier on unlabeled data:

Classifications: 
1: 4
2: 4
3: 4
4: 4
5: 4
6: 4
7: 4
8: 4
9: 4
10: 4
11: 4
12: 4
13: 4
14: 4
15: 4
16: 4
17: 4
18: 4
19: 4
20: 4
21: 4
22: 4
23: 4
24: 4
25: 2
26: 4
27: 4
28: 4
29: 4
30: 4
31: 1
32: 1
33: 1
34: 1
35: 1
36: 1
37: 1
38: 1
39: 1
40: 1
41: 1
42: 1
43: 1
44: 1
45: 1
46: 1
47: 1
48: 1
49: 1
50: 1
51: 1
52: 1
53: 1
54: 1
55: 1
56: 3
57: 1
58: 1
59: 1
60: 3
61: 2
62: 2
63: 2
64: 2
65: 2
66: 2
67: 2
68: 2
69: 2
70: 2
71: 2
72: 2
73: 2
74: 2
75: 2
76: 2
77: 2
78: 2
79: 2
80: 2
81: 2
82: 2
83: 2
84: 2
85: 2
86: 2
87: 2
88: 2
89: 2
90: 2
91: 3
92: 3
93: 3
94: 3
95: 3
96: 3
97: 3
98: 3
99: 3
100: 3
101: 3
102: 3
103: 3
104: 3
105: 3
106: 3
107: 3
108: 3
109: 3
110: 3
111: 3
112: 3
113: 3
114: 3
115: 3
116: 3
117: 3
118: 3
119: 3
120: 3

Probabilities: 
1 : Class 1 = 0.043044342033325994 Class 2 = 0.15521258001416235 Class 3 = 0.020688274815417927 Class 4 = 0.7810548031370939
2 : Class 1 = 0.0018371027673711195 Class 2 = 0.37940712091843576 Class 3 = 0.0018059452674016286 Class 4 = 0.6169498310467915
3 : Class 1 = 3.829946213866859E-4 Class 2 = 0.47067733867336303 Class 3 = 5.789143150878292E-4 Class 4 = 0.5283607523901624
4 : Class 1 = 0.003162731984030234 Class 2 = 0.27309290981763046 Class 3 = 0.002709367992497589 Class 4 = 0.7210349902058417
5 : Class 1 = 0.014071650612288465 Class 2 = 0.2039492987683491 Class 3 = 0.010498949027878965 Class 4 = 0.7714801015914835
6 : Class 1 = 0.02973063414144677 Class 2 = 0.21630455049788552 Class 3 = 0.033177913945205494 Class 4 = 0.7207869014154622
7 : Class 1 = 0.00452080412900063 Class 2 = 0.25218661437900786 Class 3 = 0.004624137195145381 Class 4 = 0.738668444296846
8 : Class 1 = 0.011381847801458688 Class 2 = 0.09236839653454108 Class 3 = 0.0037884632874112547 Class 4 = 0.892461292376589
9 : Class 1 = 0.0406946361487323 Class 2 = 0.1344452849622848 Class 3 = 0.0382044950473833 Class 4 = 0.7866555838415996
10 : Class 1 = 1.7839739325021872E-4 Class 2 = 0.4650292252790427 Class 3 = 3.696874351744524E-4 Class 4 = 0.5344226898925326
11 : Class 1 = 0.00577685578254393 Class 2 = 0.27532705966455634 Class 3 = 0.007753141018890163 Class 4 = 0.7111429435340095
12 : Class 1 = 0.03962758949628912 Class 2 = 0.09191592125506674 Class 3 = 0.02179767150413059 Class 4 = 0.8466588177445136
13 : Class 1 = 0.005555771926641772 Class 2 = 0.16129554149581013 Class 3 = 0.004572134261455917 Class 4 = 0.8285765523160922
14 : Class 1 = 0.011536588662852943 Class 2 = 0.12757038508150992 Class 3 = 0.008324501121046364 Class 4 = 0.8525685251345907
15 : Class 1 = 0.03836322954079302 Class 2 = 0.02971272966990214 Class 3 = 0.006845053199388238 Class 4 = 0.9250789875899166
16 : Class 1 = 0.0035276623672058204 Class 2 = 0.15241645692885245 Class 3 = 0.0032862959956929958 Class 4 = 0.8407695847082487
17 : Class 1 = 0.005427038952878063 Class 2 = 0.14117662556923213 Class 3 = 0.004627031497815007 Class 4 = 0.8487693039800748
18 : Class 1 = 7.431889351458016E-4 Class 2 = 0.24529296044738852 Class 3 = 0.0010949204626223865 Class 4 = 0.7528689301548432
19 : Class 1 = 5.911707966505842E-4 Class 2 = 0.3238565797740545 Class 3 = 0.0011858472891999785 Class 4 = 0.6743664021400949
20 : Class 1 = 0.00653402011677916 Class 2 = 0.14483734070880952 Class 3 = 0.006473992539686536 Class 4 = 0.8421546466347247
21 : Class 1 = 0.004189342432985974 Class 2 = 0.1347895535689609 Class 3 = 0.004489506065212643 Class 4 = 0.8565315979328405
22 : Class 1 = 0.008964175123050975 Class 2 = 0.17585797599517186 Class 3 = 0.01562319533634277 Class 4 = 0.7995546535454344
23 : Class 1 = 0.0032303433455366445 Class 2 = 0.1789415406193979 Class 3 = 0.005456028716307599 Class 4 = 0.8123720873187578
24 : Class 1 = 0.20764957195952607 Class 2 = 0.03661185620786755 Class 3 = 0.19272602047495668 Class 4 = 0.5630125513576496
25 : Class 1 = 2.3444858427697454E-5 Class 2 = 0.5499138760033954 Class 3 = 8.888300242455083E-5 Class 4 = 0.44997379613575217
26 : Class 1 = 3.1065176694414866E-4 Class 2 = 0.3327803271554831 Class 3 = 0.0011486736587047052 Class 4 = 0.6657603474188681
27 : Class 1 = 0.019442866246617396 Class 2 = 0.18305938370400066 Class 3 = 0.08022985262666672 Class 4 = 0.7172678974227152
28 : Class 1 = 7.69671315514686E-5 Class 2 = 0.4883453482815542 Class 3 = 2.2334378580860184E-4 Class 4 = 0.5113543408010857
29 : Class 1 = 1.769083504259213E-4 Class 2 = 0.4743814058257196 Class 3 = 7.907392202943354E-4 Class 4 = 0.52465094660356
30 : Class 1 = 7.684724718773272E-4 Class 2 = 0.3992640261663842 Class 3 = 0.0010140208593811485 Class 4 = 0.5989534805023573
31 : Class 1 = 0.6355114539075993 Class 2 = 0.01693671882969215 Class 3 = 0.2680638526921989 Class 4 = 0.07948797457050967
32 : Class 1 = 0.8483514132880197 Class 2 = 3.938545905924907E-4 Class 3 = 0.14509946894290615 Class 4 = 0.006155263178481666
33 : Class 1 = 0.8594289732716314 Class 2 = 8.517427852594945E-4 Class 3 = 0.12526770803809628 Class 4 = 0.014451575905012927
34 : Class 1 = 0.5628102996854293 Class 2 = 0.033676118926629195 Class 3 = 0.19954453383690796 Class 4 = 0.2039690475510336
35 : Class 1 = 0.6477297801587023 Class 2 = 0.018173194740771836 Class 3 = 0.14885154790987343 Class 4 = 0.18524547719065235
36 : Class 1 = 0.7996140483301193 Class 2 = 0.0015079188827592453 Class 3 = 0.17842531184723193 Class 4 = 0.02045272093988951
37 : Class 1 = 0.6130378940924073 Class 2 = 0.019802647662742888 Class 3 = 0.20999421633101512 Class 4 = 0.15716524191383469
38 : Class 1 = 0.8030792766621206 Class 2 = 0.0012534423468740876 Class 3 = 0.1726187683001098 Class 4 = 0.023048512690895275
39 : Class 1 = 0.7936355310452171 Class 2 = 0.0010839596826816326 Class 3 = 0.1864776636227927 Class 4 = 0.018802845649308578
40 : Class 1 = 0.5087977671025522 Class 2 = 0.016419579934416933 Class 3 = 0.33690358337689075 Class 4 = 0.1378790695861401
41 : Class 1 = 0.8038590772483439 Class 2 = 2.57142885560495E-4 Class 3 = 0.18616938778727538 Class 4 = 0.009714392078820197
42 : Class 1 = 0.7096616949643929 Class 2 = 4.6758337416411363E-4 Class 3 = 0.28008507150069223 Class 4 = 0.009785650160750742
43 : Class 1 = 0.8332626978094563 Class 2 = 6.812476103452335E-5 Class 3 = 0.16340569702453156 Class 4 = 0.0032634804049777436
44 : Class 1 = 0.6116947742562311 Class 2 = 0.0034722675202750347 Class 3 = 0.33608465082960814 Class 4 = 0.04874830739388563
45 : Class 1 = 0.6611845400316225 Class 2 = 0.002006024818051166 Class 3 = 0.302264076329636 Class 4 = 0.034545358820690285
46 : Class 1 = 0.8123781704868241 Class 2 = 9.905306768483089E-5 Class 3 = 0.18288376322706618 Class 4 = 0.004639013218424775
47 : Class 1 = 0.8052134533361845 Class 2 = 2.3800979052622452E-4 Class 3 = 0.1854584351231278 Class 4 = 0.00909010175016155
48 : Class 1 = 0.833790753643811 Class 2 = 6.971139199528265E-5 Class 3 = 0.1619789337123775 Class 4 = 0.0041606012518161685
49 : Class 1 = 0.5454213935859039 Class 2 = 0.009275634487014048 Class 3 = 0.316729183972519 Class 4 = 0.1285737879545631
50 : Class 1 = 0.6054517419359319 Class 2 = 0.0046299379702120225 Class 3 = 0.3159261138272971 Class 4 = 0.07399220626655906
51 : Class 1 = 0.7615734176058929 Class 2 = 3.0492086770537926E-4 Class 3 = 0.22489938414569968 Class 4 = 0.013222277380702025
52 : Class 1 = 0.8611369528506257 Class 2 = 2.419247610755109E-5 Class 3 = 0.13663053041898723 Class 4 = 0.0022083242542793955
53 : Class 1 = 0.6759884117385295 Class 2 = 0.0014219813514228146 Class 3 = 0.2842111035419658 Class 4 = 0.038378503368081754
54 : Class 1 = 0.7903968506614147 Class 2 = 4.831242046353084E-5 Class 3 = 0.20690820263743215 Class 4 = 0.0026466342806895932
55 : Class 1 = 0.8826234913630104 Class 2 = 2.523409607463098E-6 Class 3 = 0.11688400437627723 Class 4 = 4.899808511048157E-4
56 : Class 1 = 0.35545992394086934 Class 2 = 0.014391834959073735 Class 3 = 0.5003953560869645 Class 4 = 0.12975288501309237
57 : Class 1 = 0.8252806945122538 Class 2 = 1.6096217363727274E-6 Class 3 = 0.17446387281004924 Class 4 = 2.5382305596055577E-4
58 : Class 1 = 0.72527765148387 Class 2 = 1.77089758940093E-6 Class 3 = 0.27451808436026 Class 4 = 2.0249325828047043E-4
59 : Class 1 = 0.6389517297429484 Class 2 = 1.2330068042499143E-5 Class 3 = 0.3602356195856765 Class 4 = 8.003206033326516E-4
60 : Class 1 = 0.22283702675354014 Class 2 = 0.004433558978984934 Class 3 = 0.7256902373728155 Class 4 = 0.04703917689465955
61 : Class 1 = 0.0023841051324466787 Class 2 = 0.6845716879940783 Class 3 = 0.013524937537807796 Class 4 = 0.2995192693356672
62 : Class 1 = 4.6280231573174414E-4 Class 2 = 0.7921352022536321 Class 3 = 0.004491496424096268 Class 4 = 0.20291049900653982
63 : Class 1 = 0.01413458133596499 Class 2 = 0.560421352015763 Class 3 = 0.11343706452022834 Class 4 = 0.31200700212804355
64 : Class 1 = 3.59514571111794E-4 Class 2 = 0.809620680842055 Class 3 = 0.005313223930606427 Class 4 = 0.18470658065622675
65 : Class 1 = 1.736415797696128E-4 Class 2 = 0.8809872947529274 Class 3 = 0.004430414954518307 Class 4 = 0.11440864871278475
66 : Class 1 = 5.419507939894713E-4 Class 2 = 0.6655957932423514 Class 3 = 0.005688995605235031 Class 4 = 0.3281732603584242
67 : Class 1 = 3.266240044349665E-4 Class 2 = 0.7028170208714978 Class 3 = 0.004055616662813572 Class 4 = 0.29280073846125376
68 : Class 1 = 2.8617181494024417E-5 Class 2 = 0.8687842632494146 Class 3 = 8.436392225355944E-4 Class 4 = 0.1303434803465558
69 : Class 1 = 2.6766278714893956E-4 Class 2 = 0.8165416041897737 Class 3 = 0.007412607419243393 Class 4 = 0.17577812560383393
70 : Class 1 = 1.7616085257381286E-5 Class 2 = 0.8719965881454274 Class 3 = 4.541282907290918E-4 Class 4 = 0.12753166747858613
71 : Class 1 = 1.3170988545360224E-4 Class 2 = 0.7146035831495108 Class 3 = 0.0018172915450254533 Class 4 = 0.2834474154200102
72 : Class 1 = 5.545852327936947E-4 Class 2 = 0.7176507456514927 Class 3 = 0.01045761068453704 Class 4 = 0.27133705843117667
73 : Class 1 = 9.171482577057014E-4 Class 2 = 0.5523294699970959 Class 3 = 0.008420935435822756 Class 4 = 0.43833244630937573
74 : Class 1 = 9.294112373192706E-5 Class 2 = 0.8081418553421886 Class 3 = 0.0021977020215251555 Class 4 = 0.18956750151255436
75 : Class 1 = 1.246034836576224E-4 Class 2 = 0.7900079069589564 Class 3 = 0.0035068543038048452 Class 4 = 0.20636063525358125
76 : Class 1 = 3.674181462382116E-4 Class 2 = 0.8134014708215653 Class 3 = 0.018727327572589093 Class 4 = 0.16750378345960748
77 : Class 1 = 7.093737123632478E-5 Class 2 = 0.8784413704984929 Class 3 = 0.00422152841697138 Class 4 = 0.11726616371329934
78 : Class 1 = 2.013956933732873E-4 Class 2 = 0.7449697575735437 Class 3 = 0.004261330924759776 Class 4 = 0.25056751580832337
79 : Class 1 = 3.845295593963879E-4 Class 2 = 0.7629470332412326 Class 3 = 0.01683495520537479 Class 4 = 0.21983348199399627
80 : Class 1 = 0.001181642067394391 Class 2 = 0.6371551792966075 Class 3 = 0.031141550924851887 Class 4 = 0.33052162771114624
81 : Class 1 = 1.2771406663228233E-5 Class 2 = 0.8587300524206557 Class 3 = 5.75137462892362E-4 Class 4 = 0.14068203870978868
82 : Class 1 = 1.3723274022516846E-5 Class 2 = 0.8967860111524811 Class 3 = 6.032478109197646E-4 Class 4 = 0.10259701776257656
83 : Class 1 = 1.4040617274095157E-4 Class 2 = 0.8286981988787181 Class 3 = 0.007176323717980076 Class 4 = 0.16398507123056094
84 : Class 1 = 8.949897515296742E-5 Class 2 = 0.8593248193322841 Class 3 = 0.002189283852431155 Class 4 = 0.13839639784013175
85 : Class 1 = 7.33733196102489E-5 Class 2 = 0.8483863953674472 Class 3 = 0.0017098608745958895 Class 4 = 0.14983037043834663
86 : Class 1 = 1.1951678862555798E-5 Class 2 = 0.919524161234309 Class 3 = 7.743086548906138E-4 Class 4 = 0.07968957843193787
87 : Class 1 = 1.1395176252950668E-4 Class 2 = 0.8532596216873553 Class 3 = 0.0026408299258025565 Class 4 = 0.1439855966243127
88 : Class 1 = 2.2924439688163124E-4 Class 2 = 0.8514822977729299 Class 3 = 0.01221047203467418 Class 4 = 0.13607798579551428
89 : Class 1 = 0.0012047129929995122 Class 2 = 0.7889825253105321 Class 3 = 0.025908469171846565 Class 4 = 0.18390429252462184
90 : Class 1 = 2.565902885577865E-5 Class 2 = 0.8918196439092866 Class 3 = 3.4526036125781057E-4 Class 4 = 0.10780943670059978
91 : Class 1 = 0.10983084907110825 Class 2 = 0.01721615582836578 Class 3 = 0.8178889761592508 Class 4 = 0.05506401894127506
92 : Class 1 = 0.07703580723488201 Class 2 = 0.016156594174916605 Class 3 = 0.8747727609483376 Class 4 = 0.032034837641863836
93 : Class 1 = 0.14706086392794912 Class 2 = 3.064994124856735E-4 Class 3 = 0.8505741166522464 Class 4 = 0.002058520007318772
94 : Class 1 = 0.059335759035947455 Class 2 = 0.047630876318825795 Class 3 = 0.8183215420832546 Class 4 = 0.07471182256197213
95 : Class 1 = 0.0826248632078304 Class 2 = 0.001616538685070371 Class 3 = 0.9096716109333043 Class 4 = 0.006086987173794859
96 : Class 1 = 0.24252956734174363 Class 2 = 1.1402253483633886E-4 Class 3 = 0.7557251298123725 Class 4 = 0.0016312803110475154
97 : Class 1 = 0.09571369212894346 Class 2 = 1.0430785607610466E-4 Class 3 = 0.9034757320321518 Class 4 = 7.062679828285884E-4
98 : Class 1 = 0.08121081885636233 Class 2 = 2.457452546500762E-4 Class 3 = 0.9171788574794331 Class 4 = 0.0013645784095545773
99 : Class 1 = 0.10905477453225637 Class 2 = 3.60194206570932E-4 Class 3 = 0.8880093005696499 Class 4 = 0.002575730691522762
100 : Class 1 = 0.04558350792447229 Class 2 = 0.10147210886236527 Class 3 = 0.6620423006874081 Class 4 = 0.19090208252575439
101 : Class 1 = 0.05446653430234893 Class 2 = 0.0074039008717642595 Class 3 = 0.9169561201264351 Class 4 = 0.021173444699451673
102 : Class 1 = 0.030120320692484506 Class 2 = 0.003996854241457125 Class 3 = 0.959469785115699 Class 4 = 0.006413039950359258
103 : Class 1 = 0.24570731601487522 Class 2 = 1.38990020438755E-6 Class 3 = 0.7542310565529957 Class 4 = 6.0237531924732484E-5
104 : Class 1 = 0.060420560833300135 Class 2 = 5.056774348438295E-4 Class 3 = 0.9366116327962247 Class 4 = 0.0024621289356312887
105 : Class 1 = 0.059074660755934864 Class 2 = 2.4323042460453224E-4 Class 3 = 0.9394998021991481 Class 4 = 0.0011823066203126042
106 : Class 1 = 0.033559880501800816 Class 2 = 7.097814165935763E-4 Class 3 = 0.9639715573822951 Class 4 = 0.0017587806993103491
107 : Class 1 = 0.029986168591911045 Class 2 = 7.314435357343382E-4 Class 3 = 0.9673695682301074 Class 4 = 0.0019128196422471366
108 : Class 1 = 0.13038528670203717 Class 2 = 1.0197930265590343E-5 Class 3 = 0.8694305345211093 Class 4 = 1.7398084658793114E-4
109 : Class 1 = 0.052623517019472654 Class 2 = 8.382340947685772E-4 Class 3 = 0.9426283608386119 Class 4 = 0.003909888047146867
110 : Class 1 = 0.02449239900987126 Class 2 = 2.1344261851929234E-4 Class 3 = 0.9748175150615924 Class 4 = 4.766433100170296E-4
111 : Class 1 = 0.014318591503824567 Class 2 = 0.015765560243807607 Class 3 = 0.95443683005951 Class 4 = 0.01547901819285774
112 : Class 1 = 0.02035221635472002 Class 2 = 2.9233233045976884E-4 Class 3 = 0.9788442147281556 Class 4 = 5.112365866645538E-4
113 : Class 1 = 0.027872371982079366 Class 2 = 7.151184833123864E-4 Class 3 = 0.9699258148861183 Class 4 = 0.0014866946484899854
114 : Class 1 = 0.016999287922374755 Class 2 = 0.0021800459375892656 Class 3 = 0.9765936661815837 Class 4 = 0.004226999958452291
115 : Class 1 = 0.044920247548540126 Class 2 = 6.348278025891457E-4 Class 3 = 0.9528367337469965 Class 4 = 0.0016081909018743233
116 : Class 1 = 0.020129020678001177 Class 2 = 9.465888644977689E-5 Class 3 = 0.9795195246025281 Class 4 = 2.5679583302092604E-4
117 : Class 1 = 0.009010401707683429 Class 2 = 0.01651471052873016 Class 3 = 0.9651508846074245 Class 4 = 0.009324003156161961
118 : Class 1 = 0.010342313610250816 Class 2 = 0.017584925780848037 Class 3 = 0.9606657175352137 Class 4 = 0.011407043073687456
119 : Class 1 = 0.00877627708721894 Class 2 = 0.05947498121489132 Class 3 = 0.9042079134601856 Class 4 = 0.02754082823770422
120 : Class 1 = 0.14372660704440815 Class 2 = 4.983821212781526E-4 Class 3 = 0.8539153231761406 Class 4 = 0.0018596876581731287

Classified as 1: 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 57 58 59
Classified as 2: 25 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
Classified as 3: 56 60 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
Classified as 4: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 26 27 28 29 30


Features (one-based) to be excluded (1 excluded): 19

End of learning task.