FlowyML E2E Demo

✅ Libraries loaded successfully

Generated 100 experiments with 11 features
Out[0]:
   experiment_id         model  ...     status                 created_at
0        exp_000    Neural Net  ...  completed 2026-06-05 10:52:48.414323
1        exp_001           SVM  ...  completed 2026-06-05 07:52:48.414343
2        exp_002      LightGBM  ...     failed 2026-05-16 05:52:48.414350
3        exp_003           SVM  ...    timeout 2026-06-11 20:52:48.414356
4        exp_004           SVM  ...  completed 2026-06-05 09:52:48.414361
..           ...           ...  ...        ...                        ...
95       exp_095      LightGBM  ...  completed 2026-05-17 21:52:48.414739
96       exp_096           SVM  ...  completed 2026-05-28 00:52:48.414743
97       exp_097       XGBoost  ...  completed 2026-05-21 01:52:48.414747
98       exp_098       XGBoost  ...  completed 2026-06-01 00:52:48.414752
99       exp_099  RandomForest  ...  completed 2026-05-14 17:52:48.414756

[100 rows x 11 columns]

📊 df100 × 11

learning_rate

0.05

min: 0.0011 / max: 0.0998 / σ: 0.03

n_estimators

338.50

min: 50 / max: 1000 / σ: 330.52

accuracy

0.84

min: 0.7213 / max: 0.9753 / σ: 0.08

f1_score

0.83

min: 0.6909 / max: 0.9589 / σ: 0.07

training_time_s

29.67

min: 0.41 / max: 164.41 / σ: 31.45

memory_mb

998.13

min: 55.1 / max: 1973.2 / σ: 509.89

dataset_size

31920.00

min: 1000 / max: 100000 / σ: 37206.63

experiment_id

100 unique

exp_000

1

exp_001

1

exp_002

1

exp_003

1

exp_004

1

model

5 unique

Neural Net

26

XGBoost

21

SVM

19

RandomForest

18

LightGBM

16

status

3 unique

completed

58

failed

21

timeout

21

created_at

100 unique

2026-06-05 10:52:48.414323

1

2026-06-05 07:52:48.414343

1

2026-05-16 05:52:48.414350

1

2026-06-11 20:52:48.414356

1

2026-06-05 09:52:48.414361

1

#	experiment_id	model	learning_rate	n_estimators	accuracy	f1_score	training_time_s	memory_mb	dataset_size	status	created_at
0	exp_000	Neural Net	0.0916	200	0.8039	0.8553	15.34	1235.8	100000	completed	2026-06-05 10:52:48.414323
1	exp_001	SVM	0.0852	500	0.9407	0.9097	19.49	1291.5	50000	completed	2026-06-05 07:52:48.414343
2	exp_002	LightGBM	0.0455	50	0.7555	0.8624	2.6	1131.9	10000	failed	2026-05-16 05:52:48.414350
3	exp_003	SVM	0.0104	50	0.9043	0.7379	22.55	227.5	1000	timeout	2026-06-11 20:52:48.414356
4	exp_004	SVM	0.0377	100	0.8637	0.7567	17.2	1466.5	10000	completed	2026-06-05 09:52:48.414361
5	exp_005	XGBoost	0.0672	100	0.7971	0.7401	48.6	1117.5	10000	failed	2026-05-14 07:52:48.414366
6	exp_006	LightGBM	0.0669	200	0.8291	0.7856	114.37	929.3	100000	completed	2026-05-23 00:52:48.414370
7	exp_007	LightGBM	0.0595	500	0.7866	0.6909	24.36	1825.4	50000	failed	2026-06-06 04:52:48.414375
8	exp_008	LightGBM	0.0282	100	0.879	0.8531	11.69	631.0	5000	timeout	2026-06-05 12:52:48.414380
9	exp_009	SVM	0.0566	50	0.7412	0.7742	1.33	1071.0	50000	completed	2026-06-01 00:52:48.414384
10	exp_010	Neural Net	0.0389	500	0.7213	0.8636	77.57	1410.4	50000	completed	2026-06-10 06:52:48.414389
11	exp_011	LightGBM	0.0972	500	0.8833	0.7879	75.44	1603.1	10000	timeout	2026-05-16 07:52:48.414393
12	exp_012	SVM	0.085	50	0.7705	0.8709	8.75	945.7	50000	timeout	2026-05-16 03:52:48.414398
13	exp_013	XGBoost	0.0725	100	0.7384	0.7754	35.66	1692.1	1000	completed	2026-06-06 09:52:48.414402
14	exp_014	Neural Net	0.0244	50	0.8232	0.753	2.35	1549.4	10000	completed	2026-05-24 08:52:48.414406
15	exp_015	XGBoost	0.0264	500	0.7332	0.8189	5.45	179.2	1000	failed	2026-06-10 20:52:48.414411
16	exp_016	Neural Net	0.005	1000	0.9505	0.874	7.33	139.4	5000	completed	2026-06-09 09:52:48.414415
17	exp_017	SVM	0.0714	1000	0.7272	0.7775	10.47	1260.6	10000	completed	2026-05-28 20:52:48.414419
18	exp_018	RandomForest	0.012	200	0.8705	0.9423	164.41	727.5	5000	timeout	2026-05-15 04:52:48.414424
19	exp_019	Neural Net	0.0445	50	0.834	0.691	35.81	457.8	10000	completed	2026-06-06 17:52:48.414428
20	exp_020	XGBoost	0.021	50	0.8947	0.797	14.55	1180.3	100000	completed	2026-05-17 15:52:48.414432
21	exp_021	SVM	0.0897	200	0.8053	0.9509	40.08	716.0	50000	completed	2026-05-29 15:52:48.414436
22	exp_022	Neural Net	0.0481	200	0.7603	0.8334	74.04	1097.7	100000	timeout	2026-05-24 01:52:48.414440
23	exp_023	RandomForest	0.0568	200	0.9753	0.7986	95.61	947.2	5000	failed	2026-06-10 06:52:48.414444
24	exp_024	RandomForest	0.0699	500	0.9381	0.8392	1.79	1190.3	50000	timeout	2026-05-14 16:52:48.414448
25	exp_025	LightGBM	0.0148	50	0.9437	0.8413	15.05	830.6	10000	failed	2026-05-28 21:52:48.414452
26	exp_026	LightGBM	0.0608	500	0.7851	0.8849	3.39	1410.5	50000	timeout	2026-05-20 12:52:48.414457
27	exp_027	XGBoost	0.0544	200	0.7301	0.7158	12.27	401.1	1000	timeout	2026-05-30 06:52:48.414461
28	exp_028	Neural Net	0.0211	50	0.7988	0.75	5.58	1408.2	50000	timeout	2026-06-07 00:52:48.414465
29	exp_029	Neural Net	0.0943	500	0.8596	0.8426	31.23	852.7	1000	failed	2026-06-03 22:52:48.414469
30	exp_030	LightGBM	0.0603	500	0.8049	0.9228	14.74	1754.9	50000	failed	2026-05-25 18:52:48.414473
31	exp_031	Neural Net	0.0698	200	0.9352	0.8373	7.82	1054.7	1000	timeout	2026-05-30 15:52:48.414477
32	exp_032	Neural Net	0.0882	50	0.7906	0.7468	9.27	1947.6	5000	completed	2026-06-11 13:52:48.414481
33	exp_033	RandomForest	0.0628	200	0.971	0.8704	13.4	1223.8	100000	completed	2026-05-15 23:52:48.414485
34	exp_034	LightGBM	0.0303	50	0.8389	0.8872	9.03	486.5	10000	completed	2026-06-01 00:52:48.414490
35	exp_035	SVM	0.0114	1000	0.9389	0.7467	18.11	1652.5	50000	completed	2026-05-31 04:52:48.414494
36	exp_036	LightGBM	0.0462	100	0.7705	0.7858	0.99	722.9	100000	failed	2026-05-26 00:52:48.414498
37	exp_037	SVM	0.0226	100	0.827	0.8296	9.85	727.9	10000	failed	2026-05-24 00:52:48.414502
38	exp_038	RandomForest	0.0422	100	0.9019	0.819	15.89	112.0	10000	completed	2026-05-31 23:52:48.414506
39	exp_039	XGBoost	0.0884	200	0.756	0.7891	27.7	1120.0	1000	completed	2026-06-06 21:52:48.414510
40	exp_040	Neural Net	0.0331	1000	0.7545	0.7633	9.48	1092.1	5000	completed	2026-05-26 05:52:48.414514
41	exp_041	RandomForest	0.0131	50	0.9721	0.708	4.29	744.2	5000	timeout	2026-06-12 02:52:48.414518
42	exp_042	Neural Net	0.0363	500	0.9058	0.695	2.38	1793.7	100000	failed	2026-06-12 03:52:48.414522
43	exp_043	XGBoost	0.0908	50	0.7307	0.9484	84.67	301.1	5000	completed	2026-05-19 07:52:48.414526
44	exp_044	XGBoost	0.0279	500	0.8237	0.9172	16.17	693.7	50000	completed	2026-05-28 10:52:48.414530
45	exp_045	RandomForest	0.0651	50	0.8327	0.7794	26.11	677.1	5000	completed	2026-06-05 14:52:48.414535
46	exp_046	XGBoost	0.0011	1000	0.9135	0.9479	75.46	230.0	100000	completed	2026-06-04 19:52:48.414539
47	exp_047	SVM	0.0359	500	0.7852	0.8695	2.59	988.2	5000	failed	2026-05-22 23:52:48.414543
48	exp_048	XGBoost	0.0312	200	0.7679	0.8151	62.78	1391.2	50000	completed	2026-06-08 04:52:48.414547
49	exp_049	Neural Net	0.0173	50	0.741	0.818	24.06	1047.7	1000	timeout	2026-06-08 03:52:48.414551
50	exp_050	Neural Net	0.0539	50	0.8314	0.7033	5.4	356.1	100000	completed	2026-06-03 15:52:48.414555
51	exp_051	Neural Net	0.049	500	0.899	0.7057	15.89	785.7	1000	completed	2026-05-15 15:52:48.414559
52	exp_052	Neural Net	0.0696	200	0.7351	0.8487	45.1	55.1	1000	completed	2026-05-17 01:52:48.414563
53	exp_053	SVM	0.0277	200	0.958	0.835	19.64	1743.2	1000	failed	2026-06-01 21:52:48.414567
54	exp_054	LightGBM	0.0252	1000	0.835	0.7396	126.57	214.8	10000	completed	2026-06-10 14:52:48.414571
55	exp_055	RandomForest	0.0177	200	0.7823	0.9449	14.18	1214.7	10000	failed	2026-05-17 02:52:48.414575
56	exp_056	Neural Net	0.0227	200	0.7444	0.8988	41.54	1973.2	1000	failed	2026-05-24 19:52:48.414579
57	exp_057	XGBoost	0.0563	200	0.7675	0.7118	14.98	1096.4	100000	failed	2026-06-06 03:52:48.414583
58	exp_058	Neural Net	0.041	100	0.963	0.9407	53.01	1851.9	50000	failed	2026-05-28 01:52:48.414588
59	exp_059	XGBoost	0.0074	1000	0.886	0.9528	25.26	510.4	50000	timeout	2026-06-09 06:52:48.414592
60	exp_060	XGBoost	0.0261	50	0.8543	0.9589	1.97	1531.9	5000	timeout	2026-06-10 14:52:48.414596
61	exp_061	Neural Net	0.0254	500	0.8908	0.6956	1.13	1086.0	100000	completed	2026-05-24 01:52:48.414600
62	exp_062	SVM	0.0699	50	0.8333	0.8864	4.31	1455.0	10000	completed	2026-06-05 11:52:48.414604
63	exp_063	XGBoost	0.0715	1000	0.9098	0.8329	0.41	171.6	1000	failed	2026-05-27 14:52:48.414608
64	exp_064	XGBoost	0.0157	500	0.7324	0.8776	2.35	338.1	5000	completed	2026-05-29 08:52:48.414612
65	exp_065	Neural Net	0.0998	1000	0.8672	0.9512	35.3	309.6	50000	completed	2026-06-12 13:52:48.414616
66	exp_066	XGBoost	0.0274	200	0.7612	0.8726	22.93	1390.0	10000	completed	2026-05-30 20:52:48.414620
67	exp_067	XGBoost	0.0977	500	0.7512	0.9143	41.58	1696.7	10000	timeout	2026-05-25 10:52:48.414624
68	exp_068	Neural Net	0.0417	200	0.8089	0.9227	73.31	1511.8	1000	completed	2026-05-30 05:52:48.414628
69	exp_069	Neural Net	0.0043	50	0.7439	0.9148	26.4	109.4	50000	completed	2026-06-10 15:52:48.414632
70	exp_070	RandomForest	0.0352	50	0.7445	0.7993	38.85	1741.1	100000	completed	2026-06-02 22:52:48.414637
71	exp_071	SVM	0.0638	500	0.801	0.7423	42.45	740.6	10000	timeout	2026-06-03 08:52:48.414641
72	exp_072	SVM	0.0684	500	0.9747	0.7911	14.24	824.5	1000	timeout	2026-05-19 18:52:48.414645
73	exp_073	XGBoost	0.0536	1000	0.7656	0.9297	8.28	254.5	100000	completed	2026-06-10 18:52:48.414649
74	exp_074	SVM	0.0453	1000	0.7245	0.721	6.88	1487.9	50000	failed	2026-05-18 12:52:48.414653
75	exp_075	XGBoost	0.0557	200	0.9185	0.8237	8.69	405.5	10000	completed	2026-05-18 17:52:48.414657
76	exp_076	RandomForest	0.0597	500	0.9298	0.7453	9.64	1149.7	100000	completed	2026-06-01 21:52:48.414661
77	exp_077	Neural Net	0.009	50	0.81	0.8428	6.97	1689.4	100000	completed	2026-05-26 11:52:48.414666
78	exp_078	Neural Net	0.0376	1000	0.8408	0.9217	63.17	223.9	100000	timeout	2026-06-08 21:52:48.414670
79	exp_079	Neural Net	0.025	1000	0.8889	0.9265	42.44	1093.9	10000	completed	2026-06-09 05:52:48.414674
80	exp_080	SVM	0.0805	50	0.7325	0.7463	1.44	504.8	10000	timeout	2026-06-09 15:52:48.414678
81	exp_081	RandomForest	0.0476	1000	0.9668	0.9342	9.39	718.7	5000	completed	2026-05-31 21:52:48.414682
82	exp_082	SVM	0.0984	200	0.9505	0.8457	0.67	974.2	50000	completed	2026-06-07 21:52:48.414687
83	exp_083	SVM	0.0405	500	0.7878	0.7781	20.68	742.5	1000	failed	2026-05-23 10:52:48.414691
84	exp_084	RandomForest	0.0818	50	0.724	0.8783	19.4	1315.2	100000	completed	2026-05-25 01:52:48.414695
85	exp_085	RandomForest	0.08	500	0.9627	0.8149	53.4	985.2	5000	timeout	2026-05-23 01:52:48.414699
86	exp_086	RandomForest	0.0159	1000	0.8503	0.7858	11.04	1189.2	1000	completed	2026-06-06 00:52:48.414703
87	exp_087	RandomForest	0.0513	1000	0.8602	0.8774	50.85	1486.8	5000	completed	2026-06-05 07:52:48.414707
88	exp_088	Neural Net	0.0699	50	0.8978	0.7496	103.24	1137.6	10000	completed	2026-05-24 08:52:48.414711
89	exp_089	LightGBM	0.086	200	0.8801	0.7725	2.78	1193.7	100000	failed	2026-06-12 14:52:48.414715
90	exp_090	LightGBM	0.0333	100	0.9654	0.8016	47.08	1150.7	1000	completed	2026-05-30 03:52:48.414719
91	exp_091	RandomForest	0.0228	50	0.9655	0.751	26.74	788.6	1000	completed	2026-05-15 20:52:48.414723
92	exp_092	LightGBM	0.0714	100	0.9455	0.7935	19.62	708.0	1000	completed	2026-06-06 14:52:48.414727
93	exp_093	LightGBM	0.0811	100	0.8855	0.84	16.37	1804.3	1000	completed	2026-06-09 08:52:48.414731
94	exp_094	RandomForest	0.0355	200	0.9282	0.8875	46.07	1234.7	1000	completed	2026-06-06 18:52:48.414735
95	exp_095	LightGBM	0.0105	100	0.8961	0.8948	30.6	526.5	5000	completed	2026-05-17 21:52:48.414739
96	exp_096	SVM	0.0941	100	0.8691	0.9104	49.05	1021.6	100000	completed	2026-05-28 00:52:48.414743
97	exp_097	XGBoost	0.0404	200	0.7534	0.8884	70.04	694.2	10000	completed	2026-05-21 01:52:48.414747
98	exp_098	XGBoost	0.0523	100	0.9309	0.8707	28.81	1870.7	10000	completed	2026-06-01 00:52:48.414752
99	exp_099	RandomForest	0.0839	100	0.9334	0.7465	118.06	64.7	10000	completed	2026-05-14 17:52:48.414756

🏆 Model Performance Summary:
Out[0]:
              avg_accuracy  avg_f1  avg_time  count  best_accuracy
model
RandomForest        0.8950  0.8290   39.9511     18         0.9753
LightGBM            0.8553  0.8215   32.1675     16         0.9654
SVM                 0.8387  0.8147   16.3042     19         0.9747
Neural Net          0.8308  0.8210   31.3523     26         0.9630
XGBoost             0.8055  0.8523   28.9814     21         0.9309

📊 summary5 × 5

avg_accuracy

0.85

min: 0.8055 / max: 0.895 / σ: 0.03

avg_f1

0.83

min: 0.8147 / max: 0.8523 / σ: 0.01

avg_time

29.75

min: 16.3042 / max: 39.9511 / σ: 7.67

count

20.00

min: 16 / max: 26 / σ: 3.41

best_accuracy

0.96

min: 0.9309 / max: 0.9753 / σ: 0.02

#	avg_accuracy	avg_f1	avg_time	count	best_accuracy
0	0.895	0.829	39.9511	18	0.9753
1	0.8553	0.8215	32.1675	16	0.9654
2	0.8387	0.8147	16.3042	19	0.9747
3	0.8308	0.821	31.3523	26	0.963
4	0.8055	0.8523	28.9814	21	0.9309

name 'df' is not defined

\U0001f4ca Results Summary\n\nThis demo notebook shows end-to-end FlowyML Notebook capabilities:\n\n- DataFrame display with interactive exploration\n- Cell execution metrics (duration, memory)\n- Reactive execution — downstream cells auto-update\n- Variable inspector — track all variables in the session\n\n> Click Run All to execute all cells and see results!