Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.364  0.0332  0.0729  0.3532  0.3429  0.34
Anderszewski 2003   72  0.2267  0.0065  0.0469  0.0440  0.1459  0.07
Ashkenazy 1981   30  0.3587  0.0041  0.0841  0.2151  0.0847  0.13
Bacha 2000   83  0.0872  0.0084  0.0385  0.0382  0.0287  0.02
Badura 1965   57  0.2838  0.0053  0.0476  0.0432  0.3748  0.12
Barbosa 1983   34  0.3435  0.0027  0.0721  0.4223  0.4317  0.42
Biret 1990   60  0.2864  0.0070  0.0558  0.0542  0.1952  0.10
Blet 2003   23  0.3817  0.0024  0.0619  0.4329  0.4514  0.44
Block 1995   25  0.3756  0.0022  0.1117  0.4334  0.3620  0.39
Blumental 1952   69  0.2473  0.0075  0.0552  0.0570  0.0480  0.04
Boshniakovich 1969   6  0.4520  0.0011  0.208  0.5923  0.5010  0.54
Brailowsky 1960   36  0.3425  0.0034  0.0738  0.2522  0.5124  0.36
Bunin 1987   31  0.3513  0.0117  0.1020  0.4325  0.4316  0.43
Bunin 1987b   33  0.3468  0.0019  0.0922  0.4228  0.4019  0.41
Chiu 1999   27  0.3636  0.0038  0.0940  0.2341  0.2139  0.22
Cohen 1997   64  0.2529  0.0074  0.0560  0.0550  0.0669  0.05
Cortot 1951   79  0.1346  0.0081  0.0477  0.0474  0.0384  0.03
Csalog 1996   18  0.3812  0.0115  0.0824  0.3919  0.4715  0.43
Czerny 1949   84  0.0665  0.0088  0.0383  0.0377  0.0483  0.03
Czerny 1990   8  0.4514  0.015  0.127  0.6319  0.703  0.66
Duchoud 2007   9  0.446  0.029  0.1611  0.567  0.636  0.59
Ezaki 2006   56  0.2960  0.0045  0.0645  0.1141  0.2142  0.15
Falvay 1989   50  0.3027  0.0043  0.0644  0.1351  0.0653  0.09
Farrell 1958   54  0.2932  0.0050  0.0556  0.0531  0.3244  0.13
Ferenczy 1958   88  0.0169  0.0085  0.0289  0.0247  0.0779  0.04
Fliere 1977   1  0.562  0.322  0.562  0.8018  0.691  0.74
Fou 1978   22  0.3815  0.0110  0.1614  0.4616  0.4611  0.46
Francois 1956   68  0.2416  0.0158  0.0649  0.0632  0.4043  0.15
Friedman 1923   17  0.3970  0.0023  0.0723  0.3936  0.3921  0.39
Friedman 1923b   15  0.4037  0.0018  0.0916  0.4536  0.4513  0.45
Friedman 1930   21  0.3857  0.0025  0.0625  0.3838  0.3922  0.38
Garcia 2007   32  0.3523  0.0021  0.0828  0.3528  0.4023  0.37
Garcia 2007b   46  0.3139  0.0060  0.0566  0.0543  0.1654  0.09
Gierzod 1998   77  0.1774  0.0071  0.0473  0.0442  0.1758  0.08
Gornostaeva 1994   61  0.2847  0.0056  0.0559  0.0546  0.0862  0.06
Groot 1988   7  0.4510  0.0114  0.1312  0.5237  0.2327  0.35
Harasiewicz 1955   37  0.3441  0.0036  0.0733  0.3037  0.2038  0.24
Hatto 1993   65  0.2583  0.0067  0.0554  0.0564  0.0670  0.05
Hatto 1997   73  0.2178  0.0068  0.0470  0.0459  0.0578  0.04
Horowitz 1949   24  0.3822  0.0026  0.0727  0.3735  0.3625  0.36
Indjic 1988   74  0.2188  0.0072  0.0472  0.0454  0.0861  0.06
Kapell 1951   41  0.3230  0.0030  0.0630  0.3269  0.0545  0.13
Kissin 1993   49  0.3079  0.0042  0.0742  0.1738  0.3536  0.24
Kushner 1989   19  0.3831  0.0031  0.0734  0.3035  0.2633  0.28
Luisada 1991   4  0.479  0.0112  0.169  0.5821  0.559  0.56
Lushtak 2004   59  0.2833  0.0049  0.0562  0.0522  0.3246  0.13
Malcuzynski 1961   53  0.3048  0.0047  0.0555  0.0544  0.1356  0.08
Magaloff 1978   26  0.3628  0.0037  0.0739  0.2436  0.3332  0.28
Magin 1975   75  0.2166  0.0078  0.0568  0.0573  0.0475  0.04
Michalowski 1933   20  0.3852  0.0035  0.0732  0.3031  0.3828  0.34
Milkina 1970   81  0.1184  0.0080  0.0475  0.0464  0.0476  0.04
Mohovich 1999   43  0.3211  0.0140  0.0837  0.2635  0.2337  0.24
Moravec 1969   58  0.2843  0.0063  0.0647  0.0662  0.0463  0.05
Morozova 2008   11  0.423  0.054  0.155  0.6314  0.528  0.57
Neighaus 1950   42  0.3226  0.0033  0.0636  0.2661  0.0550  0.11
Niedzielski 1931   62  0.2721  0.0061  0.0565  0.0572  0.0474  0.04
Ohlsson 1999   39  0.3344  0.0052  0.0474  0.0447  0.0667  0.05
Osinska 1989   48  0.3124  0.0057  0.0746  0.0740  0.1649  0.11
Pachmann 1927   44  0.3175  0.0062  0.0564  0.0545  0.1257  0.08
Paderewski 1930   70  0.2345  0.0066  0.0553  0.0558  0.0666  0.05
Perlemuter 1992   3  0.497  0.023  0.183  0.707  0.732  0.71
Pierdomenico 2008   66  0.2463  0.0064  0.0471  0.0439  0.1855  0.08
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   71  0.2376  0.0073  0.0563  0.0553  0.0760  0.06
Rachmaninoff 1923   12  0.425  0.036  0.1410  0.5813  0.684  0.63
Rangell 2001   35  0.3449  0.0039  0.0831  0.3124  0.3431  0.32
Richter 1976   16  0.4062  0.0020  0.1015  0.4537  0.4812  0.46
Rosen 1989   10  0.4477  0.007  0.136  0.6320  0.537  0.58
Rosenthal 1930   47  0.3140  0.0044  0.0743  0.1424  0.4335  0.25
Rosenthal 1931   86  0.0361  0.0087  0.0384  0.0371  0.0382  0.03
Rosenthal 1931b   85  0.0589  0.0083  0.0386  0.0367  0.0485  0.03
Rosenthal 1931c   82  0.0890  0.0077  0.0479  0.0481  0.0286  0.03
Rosenthal 1931d   87  0.0391  0.0086  0.0387  0.0384  0.0289  0.02
Rossi 2007   80  0.1253  0.0082  0.0382  0.0358  0.0572  0.04
Rubinstein 1939   76  0.2050  0.0069  0.0480  0.0462  0.0473  0.04
Rubinstein 1952   51  0.3071  0.0055  0.0557  0.0546  0.0671  0.05
Rubinstein 1966   40  0.3254  0.0029  0.0635  0.2739  0.1440  0.19
Schilhawsky 1960   45  0.318  0.0248  0.0648  0.0620  0.4541  0.16
Shebanova 2002   14  0.4018  0.0013  0.1118  0.4343  0.2430  0.32
Smith 1975   67  0.2434  0.0076  0.0481  0.0451  0.0664  0.05
Sokolov 2002   78  0.1685  0.0079  0.0478  0.0474  0.0381  0.03
Sztompka 1959   5  0.4619  0.008  0.194  0.6415  0.575  0.60
Tomsic 1995   55  0.2986  0.0054  0.0567  0.0572  0.0477  0.04
Uninsky 1932   13  0.4158  0.0016  0.0813  0.4738  0.2626  0.35
Uninsky 1971   38  0.3359  0.0046  0.0650  0.0659  0.0568  0.05
Wasowski 1980   28  0.3655  0.0028  0.0626  0.3844  0.1934  0.27
Zak 1937   52  0.3042  0.0051  0.0551  0.0538  0.1951  0.10
Zak 1951   63  0.2751  0.0059  0.0561  0.0556  0.0565  0.05
Average   2  0.561  0.371  0.361  0.8234  0.2218  0.42
Random 1   91  -0.0980  0.0091  0.0191  0.0186  0.0290  0.01
Random 2   89  -0.0781  0.0089  0.0288  0.0271  0.0388  0.02
Random 3   90  -0.0882  0.0090  0.0190  0.0179  0.0291  0.01

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).