Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.5290  0.0055  0.0468  0.0459  0.0468  0.04
Anderszewski 2003   4  0.743  0.102  0.224  0.4913  0.493  0.49
Ashkenazy 1981   5  0.714  0.083  0.161  0.569  0.491  0.52
Bacha 2000   24  0.622  0.114  0.1116  0.391  0.574  0.47
Badura 1965   83  0.3264  0.0076  0.0374  0.0373  0.0380  0.03
Barbosa 1983   73  0.4229  0.0158  0.0646  0.0653  0.0455  0.05
Biret 1990   11  0.7054  0.0017  0.075  0.4611  0.399  0.42
Blet 2003   26  0.6214  0.0153  0.0647  0.0650  0.0556  0.05
Block 1995   44  0.5577  0.0046  0.0555  0.0529  0.2443  0.11
Blumental 1952   67  0.4618  0.0150  0.0458  0.0434  0.1353  0.07
Boshniakovich 1969   34  0.6145  0.0045  0.0643  0.1252  0.0550  0.08
Brailowsky 1960   3  0.749  0.039  0.1017  0.3813  0.4011  0.39
Bunin 1987   50  0.5360  0.0072  0.0457  0.0479  0.0382  0.03
Bunin 1987b   49  0.5340  0.0071  0.0461  0.0478  0.0374  0.03
Chiu 1999   28  0.6284  0.0019  0.098  0.4314  0.467  0.44
Cohen 1997   84  0.2974  0.0075  0.0283  0.0248  0.0581  0.03
Cortot 1951   74  0.4167  0.0084  0.0285  0.0267  0.0485  0.03
Csalog 1996   85  0.2739  0.0073  0.0382  0.0339  0.2249  0.08
Czerny 1949   65  0.4765  0.0057  0.0550  0.0568  0.0367  0.04
Czerny 1990   18  0.6325  0.0139  0.0537  0.1772  0.0354  0.07
Duchoud 2007   23  0.6357  0.0026  0.0523  0.3239  0.1828  0.24
Ezaki 2006   12  0.6975  0.0029  0.0526  0.2754  0.0541  0.12
Falvay 1989   25  0.6246  0.0023  0.0825  0.3030  0.1927  0.24
Farrell 1958   31  0.6161  0.0051  0.0552  0.0534  0.1348  0.08
Ferenczy 1958   64  0.4747  0.0078  0.0380  0.0351  0.0479  0.03
Fliere 1977   8  0.7150  0.0018  0.079  0.4334  0.1822  0.28
Fou 1978   20  0.6326  0.0121  0.0618  0.3826  0.3515  0.36
Francois 1956   71  0.4551  0.0049  0.0554  0.0572  0.0371  0.04
Friedman 1923   89  0.0891  0.0089  0.0288  0.0272  0.0586  0.03
Friedman 1923b   88  0.0885  0.0088  0.0289  0.0269  0.0583  0.03
Friedman 1930   86  0.2262  0.0083  0.0286  0.0257  0.0578  0.03
Garcia 2007   52  0.5256  0.0042  0.0545  0.1115  0.3832  0.20
Garcia 2007b   62  0.4710  0.0211  0.0928  0.265  0.4317  0.33
Gierzod 1998   33  0.6138  0.0024  0.0629  0.2532  0.1929  0.22
Gornostaeva 1994   15  0.6437  0.0047  0.0553  0.0549  0.0557  0.05
Groot 1988   51  0.5255  0.0064  0.0466  0.0473  0.0384  0.03
Harasiewicz 1955   59  0.5013  0.0240  0.0538  0.1557  0.0452  0.08
Hatto 1993   39  0.5816  0.016  0.147  0.448  0.466  0.45
Hatto 1997   32  0.6132  0.0010  0.1012  0.4113  0.4110  0.41
Horowitz 1949   60  0.5048  0.0061  0.0372  0.0363  0.0475  0.03
Indjic 1988   38  0.5934  0.008  0.1010  0.438  0.495  0.46
Kapell 1951   45  0.5442  0.0063  0.0465  0.0449  0.0560  0.04
Kissin 1993   19  0.6341  0.0025  0.0921  0.3321  0.3516  0.34
Kushner 1989   10  0.7021  0.0114  0.0711  0.4218  0.3612  0.39
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   42  0.5678  0.0044  0.0644  0.1245  0.0945  0.10
Malcuzynski 1961   35  0.6168  0.0054  0.0551  0.0558  0.0461  0.04
Magaloff 1978   27  0.6222  0.0137  0.0632  0.2472  0.0347  0.08
Magin 1975   1  0.751  0.181  0.186  0.455  0.428  0.43
Michalowski 1933   79  0.4044  0.0043  0.0739  0.1538  0.2235  0.18
Milkina 1970   22  0.635  0.0613  0.0814  0.4020  0.3613  0.38
Mohovich 1999   13  0.6712  0.0235  0.0635  0.2045  0.0840  0.13
Moravec 1969   55  0.5120  0.0127  0.0631  0.2424  0.3221  0.28
Morozova 2008   7  0.7153  0.005  0.1119  0.3415  0.2618  0.30
Neighaus 1950   21  0.6324  0.0128  0.0622  0.3344  0.1330  0.21
Niedzielski 1931   76  0.4149  0.0065  0.0460  0.0425  0.2444  0.10
Ohlsson 1999   9  0.708  0.0412  0.093  0.5012  0.482  0.49
Osinska 1989   40  0.5828  0.0133  0.0542  0.1234  0.1738  0.14
Pachmann 1927   82  0.3463  0.0074  0.0381  0.0357  0.0562  0.04
Paderewski 1930   68  0.4581  0.0079  0.0375  0.0378  0.0287  0.02
Perlemuter 1992   48  0.5327  0.0162  0.0371  0.0379  0.0372  0.03
Pierdomenico 2008   16  0.6466  0.0030  0.0630  0.2421  0.2925  0.26
Poblocka 1999   36  0.6052  0.0038  0.0540  0.1437  0.1736  0.15
Rabcewiczowa 1932   56  0.5183  0.0066  0.0463  0.0452  0.0559  0.04
Rachmaninoff 1923   58  0.5070  0.0052  0.0549  0.0572  0.0358  0.04
Rangell 2001   37  0.5923  0.0132  0.0627  0.2621  0.2626  0.26
Richter 1976   66  0.4779  0.0077  0.0379  0.0372  0.0376  0.03
Rosen 1989   17  0.6386  0.0034  0.0533  0.2328  0.3124  0.27
Rosenthal 1930   81  0.3971  0.0085  0.0287  0.0282  0.0388  0.02
Rosenthal 1931   61  0.4880  0.0070  0.0464  0.0454  0.0564  0.04
Rosenthal 1931b   63  0.4787  0.0068  0.0370  0.0352  0.0570  0.04
Rosenthal 1931c   78  0.4088  0.0081  0.0376  0.0383  0.0290  0.02
Rosenthal 1931d   57  0.5172  0.0069  0.0456  0.0456  0.0569  0.04
Rossi 2007   80  0.4082  0.0041  0.0541  0.1329  0.1639  0.14
Rubinstein 1939   69  0.4530  0.0060  0.0373  0.0313  0.4342  0.11
Rubinstein 1952   54  0.5159  0.0056  0.0467  0.0429  0.2746  0.10
Rubinstein 1966   30  0.6135  0.0048  0.0548  0.0515  0.4537  0.15
Schilhawsky 1960   72  0.4589  0.0067  0.0469  0.0463  0.0465  0.04
Shebanova 2002   29  0.627  0.0520  0.0615  0.3923  0.3814  0.38
Smith 1975   6  0.7131  0.0015  0.1113  0.4045  0.1031  0.20
Sokolov 2002   43  0.5611  0.0259  0.0459  0.0470  0.0373  0.03
Sztompka 1959   70  0.4569  0.0080  0.0377  0.0355  0.0563  0.04
Tomsic 1995   14  0.6519  0.0136  0.0636  0.1935  0.1734  0.18
Uninsky 1932   77  0.4043  0.0087  0.0462  0.0471  0.0466  0.04
Uninsky 1971   75  0.4158  0.0086  0.0378  0.0380  0.0377  0.03
Wasowski 1980   47  0.5417  0.0131  0.0634  0.2232  0.1433  0.18
Zak 1937   41  0.5636  0.0022  0.0824  0.3124  0.2819  0.29
Zak 1951   46  0.5415  0.0116  0.0620  0.3330  0.2620  0.29
Average   2  0.756  0.057  0.112  0.5340  0.1423  0.27
Random 1   90  -0.0376  0.0091  0.0191  0.0175  0.0389  0.02
Random 2   91  -0.2073  0.0090  0.0190  0.0180  0.0291  0.01
Random 3   87  0.2033  0.0082  0.0284  0.0216  0.3651  0.08

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).