Notebooks Coverage¶
Report on last executions.
91% 2020-12-23

index |
coverage |
exe time |
last execution |
name |
title |
success |
time |
nb cells |
nb runs |
nb valid |
---|---|---|---|---|---|---|---|---|---|---|
0 |
100% |
8.341 |
2020-12-23 |
1A.1 - Liste, tuple, ensemble, dictionnaire, liste chaînée, coût des opérations |
True |
9.256876658648252 |
4 |
4 |
4 |
|
1 |
100% |
2.383 |
2020-12-23 |
True |
3.285555249080062 |
12 |
12 |
12 |
||
2 |
100% |
2.796 |
2020-12-23 |
True |
3.679053343832493 |
23 |
23 |
23 |
||
3 |
100% |
0.431 |
2020-12-23 |
1A.algo - Calculer le nombre de façons de monter une échelle. |
True |
1.322071623057127 |
6 |
6 |
6 |
|
4 |
100% |
1.484 |
2020-12-23 |
True |
3.0129588637501 |
16 |
16 |
16 |
||
5 |
100% |
1.642 |
2020-12-23 |
True |
2.559277765452862 |
15 |
15 |
15 |
||
6 |
100% |
0.287 |
2020-12-23 |
True |
1.1925891786813736 |
4 |
4 |
4 |
||
7 |
100% |
0.726 |
2020-12-23 |
True |
1.5927066914737225 |
8 |
8 |
8 |
||
8 |
100% |
23.121 |
2020-12-23 |
True |
24.763422017917037 |
15 |
15 |
15 |
||
9 |
100% |
5.352 |
2020-12-23 |
True |
6.888518467545509 |
11 |
11 |
11 |
||
10 |
100% |
0.669 |
2020-12-23 |
True |
1.5734366364777088 |
9 |
9 |
9 |
||
11 |
100% |
2.809 |
2020-12-23 |
True |
3.703772772103548 |
29 |
29 |
29 |
||
12 |
100% |
0.929 |
2020-12-23 |
True |
1.7900024503469467 |
8 |
8 |
8 |
||
13 |
100% |
18.382 |
2020-12-23 |
True |
19.285389736294746 |
17 |
17 |
17 |
||
14 |
0% |
nan |
nan |
34 |
0 |
|||||
15 |
0% |
nan |
nan |
104 |
0 |
|||||
16 |
0% |
nan |
nan |
51 |
0 |
|||||
17 |
100% |
59.772 |
2020-12-23 |
True |
61.21555040962994 |
28 |
28 |
28 |
||
18 |
100% |
4.990 |
2020-12-23 |
True |
5.8833137936890125 |
16 |
16 |
16 |
||
19 |
100% |
5.847 |
2020-12-23 |
True |
6.773752333596349 |
26 |
26 |
26 |
||
20 |
100% |
78.161 |
2020-12-23 |
True |
79.85833224654198 |
22 |
22 |
22 |
||
21 |
100% |
4.937 |
2020-12-23 |
True |
6.531828241422772 |
20 |
20 |
20 |
||
22 |
100% |
6.202 |
2020-12-23 |
True |
7.092951741069555 |
43 |
43 |
43 |
||
23 |
89% |
1.967 |
2020-12-23 |
True |
3.0274128671735525 |
28 |
25 |
25 |
||
24 |
100% |
3.368 |
2020-12-23 |
True |
4.3227999191731215 |
29 |
29 |
29 |
||
25 |
100% |
3.269 |
2020-12-23 |
True |
4.197066616266966 |
21 |
21 |
21 |
||
26 |
100% |
0.902 |
2020-12-23 |
True |
1.8843579962849617 |
11 |
11 |
11 |
||
27 |
100% |
6.224 |
2020-12-23 |
True |
7.133804613724351 |
20 |
20 |
20 |
||
28 |
100% |
40.647 |
2020-12-23 |
True |
41.56793675944209 |
18 |
18 |
18 |
||
29 |
100% |
5.082 |
2020-12-23 |
True |
11.444213828071952 |
19 |
19 |
19 |
||
30 |
100% |
99.122 |
2020-12-23 |
True |
100.29823444597423 |
92 |
92 |
92 |
||
31 |
100% |
1.887 |
2020-12-23 |
True |
2.765697995200753 |
15 |
15 |
15 |
||
32 |
100% |
6.602 |
2020-12-23 |
True |
7.98562534339726 |
23 |
23 |
23 |
||
33 |
100% |
0.577 |
2020-12-23 |
True |
1.8922922108322382 |
5 |
5 |
5 |
||
34 |
100% |
8.307 |
2020-12-23 |
True |
9.82050028629601 |
28 |
28 |
28 |
||
35 |
100% |
1.145 |
2020-12-23 |
True |
2.093740863725543 |
8 |
8 |
8 |
||
36 |
100% |
84.023 |
2020-12-23 |
2A.i - Données non structurées, programmation fonctionnelle : dask |
True |
85.04946649633348 |
16 |
16 |
16 |
|
37 |
100% |
41.995 |
2020-12-23 |
True |
42.933407904580235 |
20 |
20 |
20 |
||
38 |
100% |
94.967 |
2020-12-23 |
True |
96.63056733086705 |
44 |
44 |
44 |
||
39 |
100% |
9.908 |
2020-12-23 |
True |
10.821970127522945 |
27 |
27 |
27 |
||
40 |
100% |
1000.889 |
2020-12-23 |
True |
1002.0503606777638 |
21 |
21 |
21 |
||
41 |
100% |
4.171 |
2020-12-23 |
True |
5.128129282966256 |
14 |
14 |
14 |
||
42 |
100% |
0.905 |
2020-12-23 |
1A.e - Correction de l’interrogation écrite du 26 septembre 2014 |
True |
1.8028288632631302 |
12 |
12 |
12 |
|
43 |
100% |
1.538 |
2020-12-23 |
1A.e - Correction de l’interrogation écrite du 10 octobre 2014 |
True |
2.433267341926694 |
17 |
17 |
17 |
|
44 |
82% |
3.128 |
2020-12-23 |
1A.e - Correction de l’interrogation écrite du 14 novembre 2014 |
True |
4.795374937355518 |
35 |
29 |
29 |
|
45 |
100% |
1.135 |
2020-12-23 |
1A.e - Correction de l’interrogation écrite du 14 novembre 2014 |
True |
2.1470750980079174 |
15 |
15 |
15 |
|
46 |
100% |
0.563 |
2020-12-23 |
1A.e - Correction de l’interrogation écrite du 26 septembre 2015 |
True |
1.4371318742632866 |
12 |
12 |
12 |
|
47 |
100% |
0.858 |
2020-12-23 |
1A.e - Correction de l’interrogation écrite du 6 novembre 2015 |
True |
1.7942990325391293 |
16 |
16 |
16 |
|
48 |
100% |
6.492 |
2020-12-23 |
1A.e - TD noté, 27 novembre 2012 (éléments de code pour le coloriage) |
True |
7.363671807572246 |
6 |
6 |
6 |
|
49 |
100% |
15.861 |
2020-12-23 |
True |
16.8142769318074 |
14 |
14 |
14 |
||
50 |
100% |
2.979 |
2020-12-23 |
True |
3.8765269108116627 |
36 |
36 |
36 |
||
51 |
100% |
0.166 |
2020-12-23 |
True |
1.0988861359655857 |
6 |
6 |
6 |
||
52 |
100% |
3.195 |
2020-12-23 |
True |
4.106109861284494 |
26 |
26 |
26 |
||
53 |
100% |
1.982 |
2020-12-23 |
True |
2.9067938569933176 |
23 |
23 |
23 |
||
54 |
100% |
1.671 |
2020-12-23 |
True |
2.647178253158927 |
21 |
21 |
21 |
||
55 |
100% |
4.684 |
2020-12-23 |
True |
5.618073131889105 |
25 |
25 |
25 |
||
56 |
100% |
3.691 |
2020-12-23 |
True |
4.588305700570345 |
21 |
21 |
21 |
||
57 |
100% |
19.445 |
2020-12-23 |
True |
20.356428949162364 |
17 |
17 |
17 |
||
58 |
100% |
8.752 |
2020-12-23 |
True |
9.64689644984901 |
18 |
18 |
18 |
||
59 |
100% |
4.953 |
2020-12-23 |
True |
6.237111981958151 |
29 |
29 |
29 |
||
60 |
100% |
4.161 |
2020-12-23 |
True |
5.187704773619771 |
28 |
28 |
28 |
||
61 |
100% |
5.624 |
2020-12-23 |
True |
6.513560704886913 |
24 |
24 |
24 |
||
62 |
100% |
19.219 |
2020-12-23 |
True |
20.755396420136094 |
39 |
39 |
39 |
||
63 |
100% |
4.102 |
2020-12-23 |
True |
4.985412307083607 |
11 |
11 |
11 |
||
64 |
100% |
1.483 |
2020-12-23 |
True |
3.894224502146244 |
4 |
4 |
4 |
||
65 |
100% |
6.407 |
2020-12-23 |
True |
7.996671844273806 |
11 |
11 |
11 |
||
66 |
100% |
0.700 |
2020-12-23 |
3A.mr - Random Walk with Restart (système de recommandations) |
True |
2.1270858235657215 |
4 |
4 |
4 |
|
67 |
100% |
1.892 |
2020-12-23 |
True |
2.867079071700573 |
9 |
9 |
9 |
||
68 |
100% |
17.137 |
2020-12-23 |
True |
18.633886439725757 |
14 |
14 |
14 |
||
69 |
100% |
22.565 |
2020-12-23 |
True |
24.035358166322112 |
15 |
15 |
15 |
||
70 |
100% |
7.513 |
2020-12-23 |
True |
8.590654380619526 |
21 |
21 |
21 |
||
71 |
100% |
626.031 |
2020-12-09 |
True |
627.4762265495956 |
24 |
24 |
24 |
||
72 |
100% |
175.259 |
2020-12-09 |
True |
176.74017418362203 |
35 |
35 |
35 |
||
73 |
100% |
2.570 |
2020-12-16 |
sklearn_ensae_course/00_introduction_machine_learning_and_data.ipynb |
True |
3.8143910486251116 |
13 |
13 |
13 |
|
74 |
100% |
2.483 |
2020-12-16 |
2A.ML101.1: Introduction to data manipulation with scientific Python |
True |
3.3810701463371515 |
18 |
18 |
18 |
|
75 |
100% |
3.393 |
2020-12-16 |
sklearn_ensae_course/02_basic_of_machine_learning_with_scikit-learn.ipynb |
2A.ML101.2: Basic principles of machine learning with scikit-learn |
True |
4.3498998284339905 |
15 |
15 |
15 |
76 |
100% |
6.976 |
2020-12-16 |
2A.ML101.3: Supervised Learning: Classification of Handwritten Digits |
True |
7.959204548969865 |
12 |
12 |
12 |
|
77 |
100% |
3.925 |
2020-12-16 |
True |
4.848647344857454 |
12 |
12 |
12 |
||
78 |
100% |
7.524 |
2020-12-16 |
sklearn_ensae_course/05_measuring_prediction_performance.ipynb |
True |
8.449212476611137 |
23 |
23 |
23 |
|
79 |
100% |
7.463 |
2020-12-16 |
2A.ML101.6: Unsupervised Learning: Dimensionality Reduction and Visualization |
True |
8.41798660159111 |
18 |
18 |
18 |
|
80 |
100% |
6.557 |
2020-12-16 |
sklearn_ensae_course/07_application_to_face_recognition.ipynb |
True |
7.493706963956356 |
19 |
19 |
19 |
|
81 |
100% |
4.094 |
2020-12-16 |
sklearn_ensae_course/08_validation_and_learning_curves.ipynb |
True |
5.041016140952706 |
15 |
15 |
15 |
|
82 |
100% |
0.303 |
2020-12-23 |
True |
1.2172423414885998 |
6 |
6 |
6 |
||
83 |
100% |
3.025 |
2020-12-23 |
True |
4.17777162976563 |
30 |
30 |
30 |
||
84 |
100% |
0.206 |
2020-12-23 |
True |
1.7703052517026663 |
3 |
3 |
3 |
||
85 |
100% |
0.961 |
2020-12-23 |
True |
1.8545883409678936 |
11 |
11 |
11 |
||
86 |
100% |
18.530 |
2020-12-23 |
True |
19.94138126820326 |
20 |
20 |
20 |
||
87 |
100% |
0.272 |
2020-12-23 |
True |
1.1809975858777761 |
5 |
5 |
5 |
||
88 |
100% |
0.491 |
2020-12-23 |
True |
1.8160720635205507 |
7 |
7 |
7 |
||
89 |
75% |
1.020 |
2020-12-23 |
True |
2.399999348446727 |
16 |
12 |
12 |
||
90 |
100% |
2.761 |
2020-12-23 |
True |
3.699247434735298 |
30 |
30 |
30 |
||
91 |
100% |
1.653 |
2020-12-23 |
True |
2.859859412536025 |
26 |
26 |
26 |
||
92 |
100% |
2.126 |
2020-12-23 |
True |
3.13259500823915 |
20 |
20 |
20 |
||
93 |
100% |
1.278 |
2020-12-23 |
1A.2 - Classes, méthodes, attributs, opérateurs et carré magique |
True |
2.19897591881454 |
17 |
17 |
17 |
|
94 |
100% |
0.757 |
2020-12-23 |
True |
2.095701603218913 |
11 |
11 |
11 |
||
95 |
100% |
0.943 |
2020-12-23 |
True |
2.1045541130006313 |
13 |
13 |
13 |
||
96 |
100% |
0.660 |
2020-12-23 |
True |
1.5638665053993464 |
8 |
8 |
8 |
||
97 |
100% |
0.611 |
2020-12-23 |
1A.1 - Dictionnaires, fonctions, code de Vigenère (correction) |
True |
1.5003398396074772 |
9 |
9 |
9 |
|
98 |
100% |
2.390 |
2020-12-23 |
1A.2 - Modules, fichiers, expressions régulières (correction) |
True |
3.2743201553821564 |
20 |
20 |
20 |
|
99 |
100% |
9.863 |
2020-12-23 |
1A.2 - Classes, méthodes, attributs, opérateurs et carré magique (correction) |
True |
11.262175176292658 |
12 |
12 |
12 |
|
100 |
100% |
0.454 |
2020-12-23 |
True |
1.9880787376314402 |
5 |
5 |
5 |
||
101 |
100% |
0.623 |
2020-12-23 |
True |
1.7110699266195297 |
5 |
5 |
5 |
||
102 |
100% |
1.428 |
2020-12-23 |
True |
2.3280893620103598 |
11 |
11 |
11 |
||
103 |
100% |
0.734 |
2020-12-23 |
True |
2.0113735757768154 |
6 |
6 |
6 |
||
104 |
100% |
4.456 |
2020-12-23 |
True |
5.326518753543496 |
23 |
23 |
23 |
||
105 |
100% |
0.288 |
2020-12-23 |
True |
1.2081826403737068 |
4 |
4 |
4 |
||
106 |
100% |
2.411 |
2020-12-23 |
True |
3.6998871825635433 |
8 |
8 |
8 |
||
107 |
100% |
1.129 |
2020-12-23 |
True |
2.2979091852903366 |
9 |
9 |
9 |
||
108 |
100% |
0.553 |
2020-12-23 |
True |
1.4609954971820116 |
6 |
6 |
6 |
||
109 |
100% |
0.700 |
2020-12-23 |
True |
2.00271612778306 |
6 |
6 |
6 |
||
110 |
100% |
1.209 |
2020-12-23 |
True |
2.146484285593033 |
11 |
11 |
11 |
||
111 |
100% |
0.117 |
2020-12-23 |
True |
1.3781817946583033 |
4 |
4 |
4 |
||
112 |
100% |
3.020 |
2020-12-23 |
True |
3.939243532717228 |
17 |
17 |
17 |
||
113 |
100% |
0.398 |
2020-12-23 |
True |
1.762898275628686 |
8 |
8 |
8 |
||
114 |
100% |
0.293 |
2020-12-23 |
True |
1.7749008443206549 |
10 |
10 |
10 |
||
115 |
100% |
0.097 |
2020-12-23 |
True |
1.4117798060178757 |
4 |
4 |
4 |
||
116 |
100% |
0.437 |
2020-12-23 |
True |
1.3105228077620268 |
6 |
6 |
6 |
||
117 |
100% |
4.205 |
2020-12-23 |
True |
5.1123780235648155 |
17 |
17 |
17 |
||
118 |
100% |
4.436 |
2020-12-23 |
1A.algo - Programmation dynamique et plus court chemin (correction) |
True |
5.674652369692922 |
15 |
15 |
15 |
|
119 |
100% |
1.735 |
2020-12-23 |
True |
2.6678103487938643 |
20 |
20 |
20 |
||
120 |
100% |
52.513 |
2020-12-23 |
True |
53.71339441277087 |
20 |
20 |
20 |
||
121 |
100% |
5.211 |
2020-12-23 |
True |
6.121362524107099 |
5 |
5 |
5 |
||
122 |
100% |
1.101 |
2020-12-23 |
True |
2.63405292481184 |
7 |
7 |
7 |
||
123 |
100% |
0.000 |
2020-12-23 |
True |
0.8852070681750774 |
1 |
1 |
1 |
||
124 |
100% |
139.645 |
2020-12-23 |
1A.algo - la plus grande sous-séquence croissante - correction |
True |
140.90351588837802 |
10 |
10 |
10 |
|
125 |
87% |
1.277 |
2020-12-23 |
True |
2.158875497058034 |
8 |
7 |
7 |
||
126 |
100% |
2.130 |
2020-12-23 |
True |
3.3762330897152424 |
10 |
10 |
10 |
||
127 |
100% |
0.658 |
2020-12-23 |
True |
1.5389648228883743 |
6 |
6 |
6 |
||
128 |
100% |
4.517 |
2020-12-23 |
True |
5.802423032000661 |
8 |
8 |
8 |
||
129 |
100% |
0.095 |
2020-12-23 |
True |
1.302770571783185 |
7 |
7 |
7 |
||
130 |
100% |
1.171 |
2020-12-23 |
1A.data - Décorrélation de variables aléatoires - correction |
True |
2.083033863455057 |
15 |
15 |
15 |
|
131 |
100% |
5.316 |
2020-12-23 |
True |
6.723452055826783 |
51 |
51 |
51 |
||
132 |
100% |
21.646 |
2020-12-23 |
True |
23.052087236195803 |
22 |
22 |
22 |
||
133 |
100% |
5.663 |
2020-12-23 |
True |
6.751670839264989 |
9 |
9 |
9 |
||
134 |
87% |
18.599 |
2020-12-23 |
True |
19.577898770570755 |
16 |
14 |
14 |
||
135 |
100% |
6.288 |
2020-12-23 |
True |
7.338615566492081 |
18 |
18 |
18 |
||
136 |
100% |
29.118 |
2020-12-23 |
True |
30.39456583932042 |
14 |
14 |
14 |
||
137 |
100% |
10.755 |
2020-12-23 |
True |
11.644493943080306 |
23 |
23 |
23 |
||
138 |
100% |
11.575 |
2020-12-23 |
True |
12.498124619945884 |
30 |
30 |
30 |
||
139 |
100% |
1.335 |
2020-12-23 |
True |
2.365357568487525 |
15 |
15 |
15 |
||
140 |
100% |
6.437 |
2020-12-23 |
True |
7.348020588979125 |
15 |
15 |
15 |
||
141 |
100% |
5.444 |
2020-12-23 |
True |
6.387979680672288 |
45 |
45 |
45 |
||
142 |
100% |
45.159 |
2020-12-23 |
True |
46.77796580083668 |
35 |
35 |
35 |
||
143 |
100% |
1.270 |
2020-12-23 |
True |
2.207588253542781 |
11 |
11 |
11 |
||
144 |
100% |
9.144 |
2020-12-23 |
True |
10.157992282882333 |
64 |
64 |
64 |
||
145 |
100% |
10.513 |
2020-12-23 |
True |
11.438171215355396 |
18 |
18 |
18 |
||
146 |
100% |
1.173 |
2020-12-23 |
True |
2.07508903183043 |
14 |
14 |
14 |
||
147 |
100% |
5.058 |
2020-12-23 |
True |
6.055343819782138 |
28 |
28 |
28 |
||
148 |
100% |
1.159 |
2020-12-23 |
True |
2.070795441046357 |
13 |
13 |
13 |
||
149 |
100% |
4.250 |
2020-12-23 |
True |
5.129657007753849 |
16 |
16 |
16 |
||
150 |
100% |
19.589 |
2020-12-23 |
True |
20.486376533284783 |
32 |
32 |
32 |
||
151 |
100% |
2.303 |
2020-12-23 |
True |
3.176686340942979 |
14 |
14 |
14 |
||
152 |
100% |
4.669 |
2020-12-23 |
True |
5.607270346954465 |
15 |
15 |
15 |
||
153 |
100% |
1.811 |
2020-12-23 |
True |
3.7482851948589087 |
8 |
8 |
8 |
||
154 |
100% |
59.248 |
2020-12-23 |
True |
60.174370834603906 |
34 |
34 |
34 |
||
155 |
100% |
54.342 |
2020-12-23 |
True |
55.31640422344208 |
15 |
15 |
15 |
||
156 |
100% |
6.420 |
2020-12-23 |
True |
7.358993487432599 |
14 |
14 |
14 |
||
157 |
100% |
1.220 |
2020-12-23 |
True |
2.146075237542391 |
9 |
9 |
9 |
||
158 |
100% |
7.419 |
2020-12-23 |
True |
8.965017026290298 |
38 |
38 |
38 |
||
159 |
100% |
1.152 |
2020-12-23 |
True |
2.1479944232851267 |
8 |
8 |
8 |
||
160 |
100% |
2.344 |
2020-12-23 |
True |
3.917683459818363 |
19 |
19 |
19 |
||
161 |
100% |
0.115 |
2020-12-23 |
True |
1.587170947343111 |
8 |
8 |
8 |
||
162 |
96% |
22.824 |
2020-12-23 |
True |
23.89178466796875 |
75 |
72 |
72 |
||
163 |
100% |
5.748 |
2020-12-23 |
True |
6.771011833101511 |
71 |
71 |
71 |
||
164 |
100% |
0.346 |
2020-12-23 |
True |
1.3065812215209007 |
5 |
5 |
5 |
||
165 |
0% |
nan |
nan |
72 |
0 |
|||||
166 |
0% |
nan |
nan |
7 |
0 |
|||||
167 |
100% |
0.626 |
2020-12-23 |
True |
1.5323790106922388 |
8 |
8 |
8 |
||
168 |
100% |
1.535 |
2020-12-23 |
2A.i - Modèle relationnel, analyse d’incidents dans le transport aérien |
True |
2.464765537530184 |
20 |
20 |
20 |
|
169 |
100% |
8.667 |
2020-12-23 |
td2a/td2a_cenonce_session_5_donnees_non_structurees_et_programmation_fonctionnelle.ipynb |
2A.i - Données non structurées et programmation fonctionnelle |
True |
9.590998703613877 |
30 |
30 |
30 |
170 |
96% |
16.559 |
2020-12-23 |
True |
17.503959039226174 |
27 |
26 |
26 |
||
171 |
100% |
3.863 |
2020-12-16 |
True |
4.842431562021375 |
13 |
13 |
13 |
||
172 |
100% |
1.092 |
2020-12-16 |
True |
2.0256183315068483 |
6 |
6 |
6 |
||
173 |
100% |
12.199 |
2020-12-16 |
True |
14.156203811988235 |
22 |
22 |
22 |
||
174 |
100% |
0.463 |
2020-12-23 |
2A.i - Modèle relationnel, analyse d’incidents dans le transport aérien - correction |
True |
1.3660593908280134 |
3 |
3 |
3 |
|
175 |
100% |
22.022 |
2020-12-23 |
td2a/td2a_correction_session_5_donnees_non_structurees_et_programmation_fonctionnelle_corrige.ipynb |
2A.i - Données non structurées, programmation fonctionnelle - correction |
True |
22.986241230741143 |
33 |
33 |
33 |
176 |
100% |
3.897 |
2020-12-23 |
True |
4.772276218980551 |
18 |
18 |
18 |
||
177 |
100% |
13.319 |
2020-12-23 |
2A.ml - Classification binaire avec features textuelles - correction |
True |
15.902124730870128 |
23 |
23 |
23 |
|
178 |
100% |
12.166 |
2020-12-23 |
True |
13.362706551328301 |
6 |
6 |
6 |
||
179 |
100% |
20.827 |
2020-12-23 |
True |
21.81791285984218 |
36 |
36 |
36 |
||
180 |
90% |
33.992 |
2020-12-23 |
True |
35.45010739006102 |
42 |
38 |
38 |
||
181 |
100% |
0.116 |
2020-12-23 |
True |
1.420279273763299 |
6 |
6 |
6 |
||
182 |
100% |
0.270 |
2020-12-23 |
True |
5.736113704741001 |
6 |
6 |
6 |
||
183 |
100% |
13.129 |
2020-12-23 |
True |
14.165097756311297 |
8 |
8 |
8 |
||
184 |
100% |
31.066 |
2020-12-23 |
2A.algo - Plus proches voisins en grande dimension - correction |
True |
31.989277333021164 |
20 |
20 |
20 |
|
185 |
100% |
0.153 |
2020-12-23 |
True |
1.0810949001461267 |
6 |
6 |
6 |
||
186 |
100% |
0.113 |
2020-12-23 |
True |
1.0507665947079659 |
5 |
5 |
5 |
||
187 |
100% |
0.765 |
2020-12-23 |
True |
2.409555906429887 |
6 |
6 |
6 |
||
188 |
100% |
0.187 |
2020-12-23 |
True |
1.4498729072511196 |
6 |
6 |
6 |
||
189 |
0% |
nan |
nan |
62 |
0 |
|||||
190 |
100% |
8.824 |
2020-12-23 |
True |
10.50174161978066 |
6 |
6 |
6 |
||
191 |
100% |
1.285 |
2020-12-23 |
True |
2.2656524553894997 |
11 |
11 |
11 |
||
192 |
100% |
30.136 |
2020-12-23 |
True |
31.735888184979558 |
40 |
40 |
40 |
||
193 |
100% |
1.978 |
2020-12-23 |
True |
3.1127346586436033 |
14 |
14 |
14 |
||
194 |
100% |
2.993 |
2020-12-23 |
True |
3.880801059305668 |
15 |
15 |
15 |
||
195 |
100% |
2.432 |
2020-12-23 |
2A.eco - Rappel de ce que vous savez déjà mais avez peut-être oublié |
True |
3.354757035151124 |
29 |
29 |
29 |
|
196 |
100% |
7.007 |
2020-12-23 |
td2a_eco/td2a_TD5_Traitement_automatique_des_langues_en_Python.ipynb |
True |
8.152366802096367 |
34 |
34 |
34 |
|
197 |
100% |
8.412 |
2020-12-23 |
td2a_eco/td2a_TD5_Traitement_automatique_des_langues_en_Python_correction.ipynb |
2A.eco - Traitement automatique de la langue en Python - correction |
True |
9.331160081550479 |
35 |
35 |
35 |
198 |
100% |
0.000 |
2020-12-23 |
True |
0.8827924262732267 |
1 |
1 |
1 |
||
199 |
100% |
0.464 |
2020-12-23 |
td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees.ipynb |
2A.eco - Mise en pratique des séances 1 et 2 - Utilisation de pandas et visualisation |
True |
1.3260243721306324 |
3 |
3 |
3 |
200 |
100% |
1.180 |
2020-12-23 |
td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees_correction_a.ipynb |
2A.eco - Mise en pratique des séances 1 et 2 - Utilisation de pandas et visualisation - correction |
True |
2.0811178144067526 |
10 |
10 |
10 |
201 |
100% |
2.582 |
2020-12-23 |
td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees_correction_b.ipynb |
2A.eco - Mise en pratique des séances 1 et 2 - Utilisation de pandas et visualisation - correction |
True |
3.5487461667507887 |
16 |
16 |
16 |
202 |
100% |
2.625 |
2020-12-23 |
td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees_correction_c.ipynb |
2A.eco - Mise en pratique des séances 1 et 2 - Utilisation de pandas et visualisation - correction |
True |
4.1067392230033875 |
14 |
14 |
14 |
203 |
100% |
7.918 |
2020-12-23 |
True |
8.85516264103353 |
12 |
12 |
12 |
||
204 |
100% |
2.632 |
2020-12-23 |
True |
4.042392799630761 |
26 |
26 |
26 |
||
205 |
100% |
3.580 |
2020-12-23 |
True |
4.507816081866622 |
36 |
36 |
36 |
||
206 |
100% |
14.099 |
2020-12-23 |
True |
15.12916947901249 |
29 |
29 |
29 |
||
207 |
100% |
8.806 |
2020-12-23 |
True |
9.78812451660633 |
29 |
29 |
29 |
||
208 |
0% |
nan |
td2a_eco2/td2a_eco_5d_Travailler_du_texte_les_expressions_regulieres.ipynb |
nan |
26 |
0 |
||||
209 |
0% |
nan |
td2a_eco2/td2a_eco_5d_Travailler_du_texte_les_expressions_regulieres_correction.ipynb |
2A.eco - Les expressions régulières : à quoi ça sert ? (correction) |
nan |
27 |
0 |
|||
210 |
100% |
408.711 |
2020-12-09 |
td2a_eco2/td2a_eco_NLP_tf_idf_ngrams_LDA_word2vec_sur_des_extraits_litteraires.ipynb |
True |
410.43595899455255 |
69 |
69 |
69 |
|
211 |
100% |
96.980 |
2020-12-23 |
True |
97.94409131072462 |
37 |
37 |
37 |
||
212 |
100% |
140.284 |
2020-12-16 |
True |
142.06810918822885 |
28 |
28 |
28 |
||
213 |
100% |
45.288 |
2020-12-23 |
True |
46.19633130170405 |
22 |
22 |
22 |
||
214 |
100% |
5.924 |
2020-12-16 |
True |
6.928887814283371 |
41 |
41 |
41 |
||
215 |
100% |
0.266 |
2020-12-16 |
2A.ml - Boosting, random forest, gradient - les features qu’ils aiment |
True |
1.1863275468349457 |
4 |
4 |
4 |
|
216 |
100% |
3.602 |
2020-12-16 |
True |
5.382040470838547 |
26 |
26 |
26 |
||
217 |
100% |
35.053 |
2020-12-23 |
Hyperparamètres, LassoRandomForestRregressor et grid_search (correction) |
True |
35.93583497218788 |
15 |
15 |
15 |
|
218 |
100% |
1.176 |
2020-12-23 |
Hyperparamètres, LassoRandomForestRregressor et grid_search (énoncé) |
True |
2.3940692227333784 |
4 |
4 |
4 |
|
219 |
100% |
0.670 |
2020-12-23 |
True |
1.5600834172219038 |
12 |
12 |
12 |
||
220 |
100% |
4.576 |
2020-12-23 |
Rappels sur scikit-learn et le machine learning (correction) |
True |
5.421392414718866 |
21 |
21 |
21 |
|
221 |
100% |
7.958 |
2020-12-23 |
True |
8.844817662611604 |
42 |
42 |
42 |
||
222 |
100% |
231.730 |
2020-12-23 |
True |
239.05620665475726 |
18 |
18 |
18 |
||
223 |
100% |
54.637 |
2020-12-23 |
True |
61.78276861645281 |
16 |
16 |
16 |
||
224 |
100% |
1.056 |
2020-12-23 |
True |
2.6347363740205765 |
9 |
9 |
9 |
||
225 |
100% |
0.945 |
2020-12-23 |
True |
2.294833781197667 |
6 |
6 |
6 |
||
226 |
100% |
14.222 |
2020-12-23 |
True |
15.119930237531662 |
25 |
25 |
25 |
||
227 |
100% |
17.039 |
2020-12-23 |
2A.data - Classification, régression, anomalies - correction |
True |
18.32893692329526 |
33 |
33 |
33 |
|
228 |
100% |
277.282 |
2020-12-23 |
2A.ml - Statistiques descriptives avec scikit-learn - correction |
True |
278.79558822885156 |
24 |
24 |
24 |
|
229 |
100% |
119.649 |
2020-12-23 |
True |
124.30506495200098 |
26 |
26 |
26 |
||
230 |
100% |
9.605 |
2020-12-23 |
True |
11.157725295051932 |
26 |
26 |
26 |
||
231 |
100% |
1.591 |
2020-12-23 |
True |
2.465835066512227 |
9 |
9 |
9 |
||
232 |
96% |
7.521 |
2020-12-23 |
True |
8.437881475314498 |
31 |
30 |
30 |
||
233 |
100% |
0.093 |
2020-12-23 |
True |
0.9717430230230093 |
2 |
2 |
2 |
||
234 |
100% |
9.700 |
2020-12-23 |
2A.ml - Pipeline pour un réduction d’une forêt aléatoire - correction |
True |
12.082350654527545 |
24 |
24 |
24 |
|
235 |
100% |
1.758 |
2020-12-23 |
2A.ml - Pipeline pour un réduction d’une forêt aléatoire - énoncé |
True |
2.7122877966612577 |
11 |
11 |
11 |
|
236 |
100% |
0.725 |
2020-12-23 |
True |
1.6510950457304716 |
6 |
6 |
6 |
||
237 |
100% |
77.134 |
2020-12-23 |
True |
78.07505190558732 |
44 |
44 |
44 |
||
238 |
100% |
1.524 |
2020-12-23 |
True |
2.3887054175138474 |
15 |
15 |
15 |
||
239 |
100% |
3.434 |
2020-12-23 |
True |
4.348728707060218 |
15 |
15 |
15 |
||
240 |
100% |
27.372 |
2020-12-23 |
True |
28.28010148741305 |
19 |
19 |
19 |
||
241 |
100% |
1.167 |
2020-12-23 |
True |
2.1280222199857235 |
8 |
8 |
8 |
