SMLHomework/results/experimentDTMaxFeature.csv

5.4 KiB

1MeasureValueMaxFeature
20Accuracy0.9612347451543432MaxFeature-None
31F1Score0.8571428571428572MaxFeature-None
42Accuracy0.9540559942569993MaxFeature-sqrt
53F1Score0.815028901734104MaxFeature-sqrt
64Accuracy0.9526202440775305MaxFeature-log2
75F1Score0.8092485549132947MaxFeature-log2
86Accuracy0.9741564967695621MaxFeature-0.25
97F1Score0.9027027027027028MaxFeature-0.25
108Accuracy0.9691313711414213MaxFeature-0.5
119F1Score0.8840970350404314MaxFeature-0.5
1210Accuracy0.9734386216798278MaxFeature-0.75
1311F1Score0.899728997289973MaxFeature-0.75
1412Accuracy0.964824120603015MaxFeature-None
1513F1Score0.8672086720867209MaxFeature-None
1614Accuracy0.9576453697056713MaxFeature-sqrt
1715F1Score0.8374655647382921MaxFeature-sqrt
1816Accuracy0.9526202440775305MaxFeature-log2
1917F1Score0.8081395348837209MaxFeature-log2
2018Accuracy0.9734386216798278MaxFeature-0.25
2119F1Score0.9008042895442359MaxFeature-0.25
2220Accuracy0.9727207465900933MaxFeature-0.5
2321F1Score0.8961748633879781MaxFeature-0.5
2422Accuracy0.9669777458722182MaxFeature-0.75
2523F1Score0.875MaxFeature-0.75
2624Accuracy0.9619526202440776MaxFeature-None
2725F1Score0.8571428571428572MaxFeature-None
2826Accuracy0.9748743718592965MaxFeature-sqrt
2927F1Score0.9046321525885558MaxFeature-sqrt
3028Accuracy0.9511844938980617MaxFeature-log2
3129F1Score0.8045977011494253MaxFeature-log2
3230Accuracy0.9691313711414213MaxFeature-0.25
3331F1Score0.8847184986595175MaxFeature-0.25
3432Accuracy0.9705671213208902MaxFeature-0.5
3533F1Score0.8906666666666666MaxFeature-0.5
3634Accuracy0.9662598707824839MaxFeature-0.75
3735F1Score0.872628726287263MaxFeature-0.75
3836Accuracy0.9662598707824839MaxFeature-None
3937F1Score0.873994638069705MaxFeature-None
4038Accuracy0.95908111988514MaxFeature-sqrt
4139F1Score0.8438356164383561MaxFeature-sqrt
4240Accuracy0.9490308686288585MaxFeature-log2
4341F1Score0.8011204481792717MaxFeature-log2
4442Accuracy0.9755922469490309MaxFeature-0.25
4543F1Score0.9050279329608939MaxFeature-0.25
4644Accuracy0.9712849964106246MaxFeature-0.5
4745F1Score0.8901098901098903MaxFeature-0.5
4846Accuracy0.9705671213208902MaxFeature-0.75
4947F1Score0.888888888888889MaxFeature-0.75
5048Accuracy0.9619526202440776MaxFeature-None
5149F1Score0.8579088471849866MaxFeature-None
5250Accuracy0.9576453697056713MaxFeature-sqrt
5351F1Score0.8319088319088319MaxFeature-sqrt
5452Accuracy0.9432878679109835MaxFeature-log2
5553F1Score0.774928774928775MaxFeature-log2
5654Accuracy0.9619526202440776MaxFeature-0.25
5755F1Score0.8594164456233423MaxFeature-0.25
5856Accuracy0.9626704953338119MaxFeature-0.5
5957F1Score0.8624338624338624MaxFeature-0.5
6058Accuracy0.9641062455132807MaxFeature-0.75
6159F1Score0.8641304347826086MaxFeature-0.75
6260Accuracy0.9612347451543432MaxFeature-None
6361F1Score0.8571428571428572MaxFeature-None
6462Accuracy0.9547738693467337MaxFeature-sqrt
6563F1Score0.8205128205128205MaxFeature-sqrt
6664Accuracy0.9511844938980617MaxFeature-log2
6765F1Score0.8121546961325967MaxFeature-log2
6866Accuracy0.9755922469490309MaxFeature-0.25
6967F1Score0.9065934065934066MaxFeature-0.25
7068Accuracy0.9705671213208902MaxFeature-0.5
7169F1Score0.8894878706199462MaxFeature-0.5
7270Accuracy0.968413496051687MaxFeature-0.75
7371F1Score0.8848167539267016MaxFeature-0.75
7472Accuracy0.9633883704235463MaxFeature-None
7573F1Score0.8625336927223719MaxFeature-None
7674Accuracy0.9626704953338119MaxFeature-sqrt
7775F1Score0.8539325842696629MaxFeature-sqrt
7876Accuracy0.9425699928212491MaxFeature-log2
7977F1Score0.7660818713450294MaxFeature-log2
8078Accuracy0.9705671213208902MaxFeature-0.25
8179F1Score0.8894878706199462MaxFeature-0.25
8280Accuracy0.9770279971284996MaxFeature-0.5
8381F1Score0.9148936170212766MaxFeature-0.5
8482Accuracy0.9633883704235463MaxFeature-0.75
8583F1Score0.8640000000000001MaxFeature-0.75
8684Accuracy0.9662598707824839MaxFeature-None
8785F1Score0.8733153638814016MaxFeature-None
8886Accuracy0.95908111988514MaxFeature-sqrt
8987F1Score0.841225626740947MaxFeature-sqrt
9088Accuracy0.9440057430007178MaxFeature-log2
9189F1Score0.7758620689655172MaxFeature-log2
9290Accuracy0.9763101220387652MaxFeature-0.25
9391F1Score0.9095890410958904MaxFeature-0.25
9492Accuracy0.9712849964106246MaxFeature-0.5
9593F1Score0.8895027624309393MaxFeature-0.5
9694Accuracy0.9626704953338119MaxFeature-0.75
9795F1Score0.8594594594594595MaxFeature-0.75
9896Accuracy0.9619526202440776MaxFeature-None
9997F1Score0.8579088471849866MaxFeature-None
10098Accuracy0.9626704953338119MaxFeature-sqrt
10199F1Score0.8452380952380952MaxFeature-sqrt
102100Accuracy0.9547738693467337MaxFeature-log2
103101F1Score0.8130563798219584MaxFeature-log2
104102Accuracy0.9705671213208902MaxFeature-0.25
105103F1Score0.8876712328767123MaxFeature-0.25
106104Accuracy0.9777458722182341MaxFeature-0.5
107105F1Score0.9155313351498637MaxFeature-0.5
108106Accuracy0.9655419956927495MaxFeature-0.75
109107F1Score0.8702702702702703MaxFeature-0.75
110108Accuracy0.9655419956927495MaxFeature-None
111109F1Score0.8702702702702703MaxFeature-None
112110Accuracy0.9490308686288585MaxFeature-sqrt
113111F1Score0.8116710875331564MaxFeature-sqrt
114112Accuracy0.9526202440775305MaxFeature-log2
115113F1Score0.8070175438596491MaxFeature-log2
116114Accuracy0.9669777458722182MaxFeature-0.25
117115F1Score0.8776595744680851MaxFeature-0.25
118116Accuracy0.9734386216798278MaxFeature-0.5
119117F1Score0.8969359331476323MaxFeature-0.5
120118Accuracy0.9748743718592965MaxFeature-0.75
121119F1Score0.9030470914127423MaxFeature-0.75