Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.2871  0.0077  0.0377  0.0375  0.0384  0.03
Anderszewski 2003   61  0.3448  0.0050  0.0558  0.0537  0.2949  0.12
Ashkenazy 1981   78  0.2658  0.0082  0.0384  0.0379  0.0487  0.03
Bacha 2000   81  0.2344  0.0079  0.0376  0.0372  0.0380  0.03
Badura 1965   74  0.2984  0.0066  0.0553  0.0534  0.1756  0.09
Barbosa 1983   55  0.3759  0.0049  0.0469  0.0454  0.0771  0.05
Biret 1990   4  0.553  0.172  0.394  0.741  0.864  0.80
Blet 2003   72  0.3081  0.0072  0.0566  0.0562  0.0477  0.04
Block 1995   30  0.4417  0.0028  0.1131  0.3023  0.4832  0.38
Blumental 1952   77  0.2688  0.0080  0.0473  0.0481  0.0386  0.03
Boshniakovich 1969   15  0.4762  0.0016  0.1517  0.5614  0.5719  0.56
Brailowsky 1960   57  0.3636  0.0068  0.0550  0.0541  0.1554  0.09
Bunin 1987   68  0.3251  0.0063  0.0564  0.0541  0.1462  0.08
Bunin 1987b   67  0.3274  0.0062  0.0471  0.0434  0.2553  0.10
Chiu 1999   41  0.4015  0.0041  0.0544  0.1126  0.2542  0.17
Cohen 1997   40  0.4064  0.0037  0.0838  0.2114  0.5837  0.35
Cortot 1951   43  0.3954  0.0036  0.0837  0.216  0.6536  0.37
Csalog 1996   7  0.526  0.027  0.176  0.691  0.726  0.70
Czerny 1949   13  0.4827  0.0014  0.1215  0.589  0.7410  0.66
Czerny 1990   59  0.3531  0.0065  0.0645  0.0656  0.0667  0.06
Duchoud 2007   65  0.3345  0.0064  0.0648  0.0623  0.3445  0.14
Ezaki 2006   23  0.4610  0.0117  0.1524  0.4621  0.5224  0.49
Falvay 1989   11  0.498  0.028  0.247  0.662  0.6312  0.64
Farrell 1958   53  0.3750  0.0032  0.0730  0.3110  0.5330  0.41
Ferenczy 1958   54  0.3725  0.0059  0.0646  0.0620  0.6341  0.19
Fliere 1977   8  0.5111  0.0111  0.1312  0.6218  0.4920  0.55
Fou 1978   46  0.3977  0.0056  0.0552  0.0545  0.0764  0.06
Francois 1956   33  0.4222  0.0039  0.0836  0.239  0.7031  0.40
Friedman 1923   69  0.3226  0.0075  0.0560  0.0541  0.1263  0.08
Friedman 1923b   63  0.3335  0.0074  0.0556  0.0542  0.1657  0.09
Friedman 1930   62  0.3463  0.0067  0.0554  0.0549  0.0672  0.05
Garcia 2007   60  0.3467  0.0047  0.0559  0.0522  0.3846  0.14
Garcia 2007b   75  0.2821  0.0061  0.0561  0.0536  0.1658  0.09
Gierzod 1998   31  0.4475  0.0030  0.0828  0.3521  0.4035  0.37
Gornostaeva 1994   3  0.602  0.214  0.352  0.801  0.842  0.82
Groot 1988   58  0.3642  0.0055  0.0557  0.0547  0.0674  0.05
Harasiewicz 1955   1  0.631  0.331  0.331  0.841  0.821  0.83
Hatto 1993   34  0.4173  0.0043  0.0740  0.1750  0.0752  0.11
Hatto 1997   19  0.4737  0.0021  0.0823  0.4718  0.4726  0.47
Horowitz 1949   82  0.2379  0.0087  0.0379  0.0360  0.0481  0.03
Indjic 1988   36  0.4146  0.0042  0.0541  0.1766  0.0555  0.09
Kapell 1951   39  0.4052  0.0040  0.0742  0.1638  0.1743  0.16
Kissin 1993   71  0.3160  0.0069  0.0475  0.0463  0.0670  0.05
Kushner 1989   29  0.4414  0.0119  0.1518  0.5218  0.4725  0.49
Luisada 1991   49  0.3866  0.0060  0.0565  0.0552  0.0668  0.05
Lushtak 2004   28  0.4430  0.0020  0.0920  0.5010  0.6021  0.55
Malcuzynski 1961   56  0.3641  0.0038  0.0739  0.2037  0.2240  0.21
Magaloff 1978   6  0.5318  0.009  0.1210  0.623  0.6911  0.65
Magin 1975   45  0.3916  0.0048  0.0567  0.0536  0.2847  0.12
Michalowski 1933   66  0.3253  0.0073  0.0472  0.0430  0.3151  0.11
Milkina 1970   24  0.454  0.086  0.209  0.648  0.699  0.66
Mohovich 1999   18  0.4761  0.0022  0.1119  0.518  0.6515  0.58
Moravec 1969   44  0.3976  0.0051  0.0568  0.0541  0.1459  0.08
Morozova 2008   51  0.3728  0.0033  0.0733  0.2927  0.4038  0.34
Neighaus 1950   27  0.4439  0.0029  0.0929  0.3317  0.4434  0.38
Niedzielski 1931   85  0.2229  0.0083  0.0286  0.0285  0.0389  0.02
Ohlsson 1999   16  0.475  0.0315  0.1516  0.563  0.6214  0.59
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   37  0.4120  0.0053  0.0470  0.0424  0.3948  0.12
Paderewski 1930   83  0.2255  0.0078  0.0382  0.0373  0.0382  0.03
Perlemuter 1992   32  0.4380  0.0035  0.0732  0.298  0.5929  0.41
Pierdomenico 2008   35  0.4147  0.0044  0.0643  0.1212  0.5439  0.25
Poblocka 1999   26  0.4434  0.0025  0.0826  0.4218  0.5127  0.46
Rabcewiczowa 1932   22  0.4668  0.0024  0.1321  0.502  0.7213  0.60
Rachmaninoff 1923   80  0.2583  0.0076  0.0551  0.0564  0.0475  0.04
Rangell 2001   42  0.4072  0.0031  0.0634  0.2612  0.5533  0.38
Richter 1976   38  0.4138  0.0057  0.0562  0.0570  0.0569  0.05
Rosen 1989   2  0.607  0.023  0.303  0.792  0.813  0.80
Rosenthal 1930   79  0.2585  0.0084  0.0287  0.0266  0.0485  0.03
Rosenthal 1931   87  0.2182  0.0085  0.0385  0.0368  0.0483  0.03
Rosenthal 1931b   86  0.2189  0.0086  0.0381  0.0357  0.0488  0.03
Rosenthal 1931c   73  0.3069  0.0070  0.0380  0.0358  0.0579  0.04
Rosenthal 1931d   84  0.2265  0.0081  0.0383  0.0351  0.0578  0.04
Rossi 2007   25  0.4513  0.0134  0.0735  0.251  0.8528  0.46
Rubinstein 1939   50  0.3870  0.0045  0.0647  0.0623  0.3844  0.15
Rubinstein 1952   5  0.5312  0.015  0.265  0.722  0.765  0.74
Rubinstein 1966   12  0.489  0.0213  0.1513  0.5916  0.5318  0.56
Schilhawsky 1960   47  0.3857  0.0058  0.0549  0.0527  0.3150  0.12
Shebanova 2002   48  0.3843  0.0046  0.0555  0.0570  0.0573  0.05
Smith 1975   21  0.4619  0.0027  0.1127  0.4111  0.6023  0.50
Sokolov 2002   20  0.4632  0.0026  0.1025  0.464  0.6917  0.56
Sztompka 1959   70  0.3278  0.0071  0.0378  0.0362  0.0576  0.04
Tomsic 1995   52  0.3733  0.0052  0.0563  0.0542  0.1460  0.08
Uninsky 1932   64  0.3340  0.0054  0.0474  0.0437  0.1561  0.08
Uninsky 1971   17  0.4756  0.0023  0.1022  0.4912  0.5322  0.51
Wasowski 1980   14  0.4824  0.0018  0.1414  0.5911  0.5616  0.57
Zak 1937   10  0.5049  0.0012  0.1611  0.623  0.718  0.66
Zak 1951   9  0.5023  0.0010  0.158  0.653  0.727  0.68
Random 1   89  -0.0387  0.0090  0.0190  0.0151  0.0490  0.02
Random 2   88  0.0190  0.0088  0.0288  0.0238  0.1765  0.06
Random 3   90  -0.0486  0.0089  0.0189  0.0118  0.3266  0.06

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).