mirror of
https://github.com/Doctorado-ML/benchmark.git
synced 2025-08-17 16:35:54 +00:00
Add report of grid search results and fix best results report
This commit is contained in:
@@ -1 +1,467 @@
|
||||
{"balance-scale": [0.0, {}, ""], "balloons": [0.9, {"base_estimator__C": 5, "base_estimator__gamma": 0.14, "base_estimator__kernel": "rbf", "base_estimator__multiclass_strategy": "ovr"}, "v. 0.3.2, Computed on iMac27 on 2022-03-09 at 14:02:32 took 8.661 s"], "breast-cancer-wisc-diag": [0.0, {}, ""], "breast-cancer-wisc-prog": [0.0, {}, ""], "breast-cancer-wisc": [0.0, {}, ""], "breast-cancer": [0.0, {}, ""], "cardiotocography-10clases": [0.0, {}, ""], "cardiotocography-3clases": [0.0, {}, ""], "conn-bench-sonar-mines-rocks": [0.0, {}, ""], "cylinder-bands": [0.0, {}, ""], "dermatology": [0.0, {}, ""], "echocardiogram": [0.0, {}, ""], "fertility": [0.0, {}, ""], "haberman-survival": [0.0, {}, ""], "heart-hungarian": [0.0, {}, ""], "hepatitis": [0.0, {}, ""], "ilpd-indian-liver": [0.0, {}, ""], "ionosphere": [0.0, {}, ""], "iris": [0.0, {}, ""], "led-display": [0.0, {}, ""], "libras": [0.0, {}, ""], "low-res-spect": [0.0, {}, ""], "lymphography": [0.0, {}, ""], "mammographic": [0.0, {}, ""], "molec-biol-promoter": [0.0, {}, ""], "musk-1": [0.0, {}, ""], "oocytes_merluccius_nucleus_4d": [0.0, {}, ""], "oocytes_merluccius_states_2f": [0.0, {}, ""], "oocytes_trisopterus_nucleus_2f": [0.0, {}, ""], "oocytes_trisopterus_states_5b": [0.0, {}, ""], "parkinsons": [0.0, {}, ""], "pima": [0.0, {}, ""], "pittsburg-bridges-MATERIAL": [0.0, {}, ""], "pittsburg-bridges-REL-L": [0.0, {}, ""], "pittsburg-bridges-SPAN": [0.0, {}, ""], "pittsburg-bridges-T-OR-D": [0.0, {}, ""], "planning": [0.0, {}, ""], "post-operative": [0.0, {}, ""], "seeds": [0.0, {}, ""], "statlog-australian-credit": [0.0, {}, ""], "statlog-german-credit": [0.0, {}, ""], "statlog-heart": [0.0, {}, ""], "statlog-image": [0.0, {}, ""], "statlog-vehicle": [0.0, {}, ""], "synthetic-control": [0.0, {}, ""], "tic-tac-toe": [0.0, {}, ""], "vertebral-column-2clases": [0.0, {}, ""], "wine": [0.0, {}, ""], "zoo": [0.0, {}, ""]}
|
||||
{
|
||||
"balance-scale": [
|
||||
0.9728,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 57,
|
||||
"base_estimator__gamma": 0.1,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:21:53 took 14.341 min"
|
||||
],
|
||||
"balloons": [
|
||||
0.9,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 5,
|
||||
"base_estimator__gamma": 0.14,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:21:53 took 20.007 s"
|
||||
],
|
||||
"breast-cancer-wisc-diag": [
|
||||
0.9788852662630028,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.0275,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:21:53 took 1.487 min"
|
||||
],
|
||||
"breast-cancer-wisc-prog": [
|
||||
0.8283333333333334,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 57,
|
||||
"base_estimator__gamma": 0.001,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:21:56 took 1.617 min"
|
||||
],
|
||||
"breast-cancer-wisc": [
|
||||
0.9713977389516959,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.95,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:22:25 took 2.696 min"
|
||||
],
|
||||
"breast-cancer": [
|
||||
0.7411978221415608,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.2,
|
||||
"base_estimator__gamma": 0.1,
|
||||
"base_estimator__kernel": "poly",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:22:26 took 8.269 min"
|
||||
],
|
||||
"cardiotocography-10clases": [
|
||||
0.8462038111019055,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 10000.0,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:22:26 took 10.859 h"
|
||||
],
|
||||
"cardiotocography-3clases": [
|
||||
0.9261552057442696,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 8.25,
|
||||
"base_estimator__gamma": 0.1,
|
||||
"base_estimator__kernel": "poly",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:22:50 took 1.453 h"
|
||||
],
|
||||
"conn-bench-sonar-mines-rocks": [
|
||||
0.8750290360046458,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.05,
|
||||
"base_estimator__gamma": "scale",
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:22:56 took 48.216 s"
|
||||
],
|
||||
"cylinder-bands": [
|
||||
0.8064534551684751,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 5,
|
||||
"base_estimator__gamma": "auto",
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:22:49 took 21.097 min"
|
||||
],
|
||||
"dermatology": [
|
||||
0.9753424657534246,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 10000.0,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:32:25 took 2.718 min"
|
||||
],
|
||||
"echocardiogram": [
|
||||
0.8552706552706553,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 5,
|
||||
"base_estimator__gamma": 0.001,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:32:25 took 1.331 min"
|
||||
],
|
||||
"fertility": [
|
||||
0.89,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 2,
|
||||
"base_estimator__gamma": 0.1,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:32:26 took 1.028 min"
|
||||
],
|
||||
"haberman-survival": [
|
||||
0.7481755684822845,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.001,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:32:25 took 7.450 min"
|
||||
],
|
||||
"heart-hungarian": [
|
||||
0.8333722969023963,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 10000.0,
|
||||
"base_estimator__gamma": 0.001,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:32:29 took 5.355 min"
|
||||
],
|
||||
"hepatitis": [
|
||||
0.8451612903225806,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__gamma": "auto",
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:32:29 took 46.302 s"
|
||||
],
|
||||
"ilpd-indian-liver": [
|
||||
0.7374742116121427,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.75,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:32:46 took 21.048 min"
|
||||
],
|
||||
"ionosphere": [
|
||||
0.9544869215291751,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 2,
|
||||
"base_estimator__gamma": 0.1,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:33:04 took 1.232 min"
|
||||
],
|
||||
"iris": [
|
||||
0.9733333333333334,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__kernel": "linear",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:32:46 took 1.259 min"
|
||||
],
|
||||
"led-display": [
|
||||
0.7209999999999999,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.001,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 17:33:08 took 2.524 h"
|
||||
],
|
||||
"libras": [
|
||||
0.861111111111111,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__kernel": "linear",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:15 took 2.297 h"
|
||||
],
|
||||
"low-res-spect": [
|
||||
0.9058014459530946,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__kernel": "linear",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:23 took 28.283 min"
|
||||
],
|
||||
"lymphography": [
|
||||
0.8577011494252874,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.001,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:15 took 1.425 min"
|
||||
],
|
||||
"mammographic": [
|
||||
0.8387305699481866,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 7,
|
||||
"base_estimator__gamma": 0.1,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:15 took 25.759 min"
|
||||
],
|
||||
"molec-biol-promoter": [
|
||||
0.8406926406926407,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.0275,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:14 took 24.426 s"
|
||||
],
|
||||
"musk-1": [
|
||||
0.9391008771929824,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 7,
|
||||
"base_estimator__gamma": "auto",
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:14 took 7.178 min"
|
||||
],
|
||||
"oocytes_merluccius_nucleus_4d": [
|
||||
0.8600669536107126,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 10000.0,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:14 took 1.841 h"
|
||||
],
|
||||
"oocytes_merluccius_states_2f": [
|
||||
0.9314968914395025,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 10000.0,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:14 took 42.120 min"
|
||||
],
|
||||
"oocytes_trisopterus_nucleus_2f": [
|
||||
0.862919594067135,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 57,
|
||||
"base_estimator__gamma": "auto",
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:14 took 35.631 min"
|
||||
],
|
||||
"oocytes_trisopterus_states_5b": [
|
||||
0.9342460817870654,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 7,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:06:13 took 29.433 min"
|
||||
],
|
||||
"parkinsons": [
|
||||
0.9435897435897436,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 2.8,
|
||||
"base_estimator__gamma": 0.14,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 1.380 min"
|
||||
],
|
||||
"pima": [
|
||||
0.7760122230710466,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.95,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 25.392 min"
|
||||
],
|
||||
"pittsburg-bridges-MATERIAL": [
|
||||
0.8770562770562771,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 2.8,
|
||||
"base_estimator__gamma": 0.14,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 1.160 min"
|
||||
],
|
||||
"pittsburg-bridges-REL-L": [
|
||||
0.67,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.2,
|
||||
"base_estimator__gamma": "scale",
|
||||
"base_estimator__kernel": "poly",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 3.985 min"
|
||||
],
|
||||
"pittsburg-bridges-SPAN": [
|
||||
0.7076023391812866,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.05,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 3.171 min"
|
||||
],
|
||||
"pittsburg-bridges-T-OR-D": [
|
||||
0.8823809523809523,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.08,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 50.029 s"
|
||||
],
|
||||
"planning": [
|
||||
0.7358858858858859,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__gamma": 10.0,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 5.112 min"
|
||||
],
|
||||
"post-operative": [
|
||||
0.7111111111111111,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__kernel": "linear",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 2.260 min"
|
||||
],
|
||||
"seeds": [
|
||||
0.9571428571428571,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 7,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 49.530 s"
|
||||
],
|
||||
"statlog-australian-credit": [
|
||||
0.6782608695652174,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__kernel": "linear",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 19:46:02 took 34.814 min"
|
||||
],
|
||||
"statlog-german-credit": [
|
||||
0.764,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 7,
|
||||
"base_estimator__gamma": 0.001,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 50.042 min"
|
||||
],
|
||||
"statlog-heart": [
|
||||
0.8518518518518519,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 2,
|
||||
"base_estimator__gamma": 0.001,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 3.803 min"
|
||||
],
|
||||
"statlog-image": [
|
||||
0.974025974025974,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 10000.0,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 5.191 h"
|
||||
],
|
||||
"statlog-vehicle": [
|
||||
0.8203271841280891,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 7,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 1.030 h"
|
||||
],
|
||||
"synthetic-control": [
|
||||
0.9866666666666667,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__kernel": "linear",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 32.053 min"
|
||||
],
|
||||
"tic-tac-toe": [
|
||||
0.9979112129144851,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 10000.0,
|
||||
"base_estimator__gamma": 0.001,
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 7.476 min"
|
||||
],
|
||||
"vertebral-column-2clases": [
|
||||
0.864516129032258,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 0.95,
|
||||
"base_estimator__kernel": "liblinear",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 4.015 min"
|
||||
],
|
||||
"wine": [
|
||||
0.9887301587301588,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 1.0,
|
||||
"base_estimator__gamma": "auto",
|
||||
"base_estimator__kernel": "rbf",
|
||||
"base_estimator__multiclass_strategy": "ovr"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 44.207 s"
|
||||
],
|
||||
"zoo": [
|
||||
0.96,
|
||||
{
|
||||
"n_jobs": -1,"base_estimator__C": 8.25,
|
||||
"base_estimator__gamma": 0.1,
|
||||
"base_estimator__kernel": "poly",
|
||||
"base_estimator__multiclass_strategy": "ovo"
|
||||
},
|
||||
"v. 0.3.2, Computed on Galgo on 2022-03-09 at 20:03:50 took 52.683 s"
|
||||
]
|
||||
}
|
||||
|
||||
@@ -191,10 +191,13 @@ class ReportBest(BaseReport):
|
||||
"Hyperparameters",
|
||||
]
|
||||
|
||||
def __init__(self, score, model):
|
||||
file_name = os.path.join(
|
||||
Folders.results, Files.best_results(score, model)
|
||||
def __init__(self, score, model, best, grid):
|
||||
name = (
|
||||
Files.best_results(score, model)
|
||||
if best
|
||||
else Files.grid_output(score, model)
|
||||
)
|
||||
file_name = os.path.join(Folders.results, name)
|
||||
super().__init__(file_name, best_file=True)
|
||||
self.compare = False
|
||||
self.score_name = score
|
||||
|
||||
@@ -3,7 +3,8 @@ import argparse
|
||||
import numpy as np
|
||||
from Experiments import Datasets
|
||||
from Results import Report, Excel, SQL, ReportBest
|
||||
from Utils import Files, TextColor
|
||||
from Utils import Files, TextColor, EnvDefault
|
||||
|
||||
|
||||
"""Build report on screen of a result file, optionally generate excel and sql
|
||||
file, and can compare results of report with best results obtained by model
|
||||
@@ -49,12 +50,27 @@ def parse_arguments():
|
||||
help="best results of models",
|
||||
)
|
||||
ap.add_argument(
|
||||
"-s",
|
||||
"--score",
|
||||
"-g",
|
||||
"--grid",
|
||||
type=str,
|
||||
required=False,
|
||||
default="accuracy",
|
||||
help="score used in best results model",
|
||||
help="grid results of model",
|
||||
)
|
||||
ap.add_argument(
|
||||
"-m",
|
||||
"--model",
|
||||
type=str,
|
||||
required=True,
|
||||
help="model name",
|
||||
)
|
||||
ap.add_argument(
|
||||
"-s",
|
||||
"--score",
|
||||
action=EnvDefault,
|
||||
envvar="score",
|
||||
type=str,
|
||||
required=True,
|
||||
help="score name {accuracy, f1_macro, ...}",
|
||||
)
|
||||
args = ap.parse_args()
|
||||
|
||||
@@ -64,7 +80,9 @@ def parse_arguments():
|
||||
args.sql,
|
||||
args.compare,
|
||||
args.best,
|
||||
args.grid,
|
||||
args.score,
|
||||
args.model,
|
||||
)
|
||||
|
||||
|
||||
@@ -88,13 +106,14 @@ def default_report():
|
||||
)
|
||||
|
||||
|
||||
(file, excel, sql, compare, best, score) = parse_arguments()
|
||||
|
||||
(file, excel, sql, compare, best, grid, score, model) = parse_arguments()
|
||||
if grid:
|
||||
best = False
|
||||
if file is None and best is None:
|
||||
default_report()
|
||||
else:
|
||||
if best is not None:
|
||||
report = ReportBest(score, best)
|
||||
if best is not None or grid is not None:
|
||||
report = ReportBest(score, model, best, grid)
|
||||
report.report()
|
||||
else:
|
||||
report = Report(file, compare)
|
||||
|
||||
Reference in New Issue
Block a user