home/cnn_num_layer_test.md

@@ -4,8 +4,30 @@ I compare which model of the CNN is better using either of 3 or 4.
 ## number of layers = 2
 
 - process of the regression
+The score is negative in the testing set (seems not good)
 
 ```
+0 0.710105836391449 0.5692983269691467 0.18870583176612854 0.7803471684455872 0.7499625086784363
+1 0.6804407835006714 0.587370753288269 -0.1154908537864685 0.8309608101844788 0.7888878583908081
+2 0.6599851250648499 0.5998485088348389 -0.14927290380001068 0.8332750797271729 0.7901298403739929
+3 0.7527843713760376 0.5441265106201172 -2.027825355529785 0.8285268545150757 0.782124936580658
+4 0.7425886392593384 0.5501244068145752 -3.1208455562591553 0.8224673271179199 0.7773095369338989
+5 0.7287222743034363 0.5583189129829407 -6.131402015686035 0.8268171548843384 0.7716442346572876
+6 0.7242569923400879 0.5610252618789673 -8.24038314819336 0.822213351726532 0.770462691783905
+7 0.7279826402664185 0.5587309002876282 -12.558215141296387 0.824636697769165 0.769781231880188
+8 0.7607887387275696 0.5388555526733398 -20.441377639770508 0.821481466293335 0.7678942084312439
+9 0.8651034832000732 0.47584253549575806 -35.131980895996094 0.8142871856689453 0.7678939700126648
+10 0.7440905570983887 0.5488948822021484 -26.658897399902344 0.8245619535446167 0.7710365653038025
+11 0.822591245174408 0.5015571713447571 -41.154327392578125 0.8216355443000793 0.7704890966415405
+12 0.8597070574760437 0.47908759117126465 -46.51552963256836 0.8207764029502869 0.7719656825065613
+13 0.8075957298278809 0.5105680823326111 -47.080528259277344 0.8227551579475403 0.7721190452575684
+14 0.7676764726638794 0.5345655679702759 -32.09916305541992 0.8230400085449219 0.7707548141479492
+15 0.7547106146812439 0.5424832701683044 -34.554359436035156 0.8240194320678711 0.7735260725021362
+16 0.7587844133377075 0.5400184392929077 -29.64142608642578 0.8231737613677979 0.7756616473197937
+17 0.770317792892456 0.5330970287322998 -35.562339782714844 0.8233638405799866 0.7746559977531433
+18 0.7587233781814575 0.5400837659835815 -36.00175857543945 0.8244456052780151 0.7750744819641113
+19 0.8316975235939026 0.4959944188594818 -42.60716247558594 0.8210747838020325 0.7757872343063354
+
 
 ```