Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.6683  0.0029  0.0628  0.2137  0.1140  0.15
Anderszewski 2003   20  0.6747  0.0028  0.0823  0.2518  0.3818  0.31
Ashkenazy 1981   4  0.795  0.043  0.213  0.594  0.543  0.56
Bacha 2000   32  0.6466  0.0040  0.0636  0.167  0.5119  0.29
Badura 1965   65  0.5367  0.0048  0.0845  0.0831  0.2441  0.14
Barbosa 1983   60  0.5734  0.0018  0.0627  0.2211  0.4317  0.31
Biret 1990   2  0.8312  0.012  0.252  0.621  0.602  0.61
Blet 2003   25  0.6584  0.0035  0.0438  0.1432  0.1739  0.15
Block 1995   81  0.3881  0.0088  0.0283  0.0281  0.0390  0.02
Blumental 1952   74  0.4485  0.0069  0.0378  0.0335  0.1257  0.06
Boshniakovich 1969   63  0.5629  0.0077  0.0376  0.0370  0.0380  0.03
Brailowsky 1960   49  0.5943  0.0064  0.0363  0.0374  0.0476  0.03
Bunin 1987   40  0.6135  0.0054  0.0555  0.0557  0.0473  0.04
Bunin 1987b   37  0.6158  0.0055  0.0647  0.0655  0.0460  0.05
Chiu 1999   62  0.5623  0.0114  0.0914  0.3910  0.4713  0.43
Cohen 1997   76  0.4040  0.0065  0.0373  0.0323  0.3049  0.09
Cortot 1951   44  0.6163  0.0059  0.0458  0.0439  0.1752  0.08
Csalog 1996   47  0.6026  0.0121  0.0724  0.257  0.5216  0.36
Czerny 1949   48  0.6077  0.0049  0.0649  0.0660  0.0462  0.05
Czerny 1990   16  0.6942  0.0031  0.0721  0.2849  0.0543  0.12
Duchoud 2007   1  0.861  0.391  0.381  0.661  0.601  0.63
Ezaki 2006   6  0.777  0.0211  0.145  0.5510  0.439  0.49
Falvay 1989   41  0.6133  0.0020  0.0717  0.3231  0.1728  0.23
Farrell 1958   27  0.6527  0.0161  0.0556  0.0536  0.1350  0.08
Ferenczy 1958   55  0.5960  0.0066  0.0370  0.0330  0.2748  0.09
Fliere 1977   7  0.7756  0.0016  0.0713  0.4234  0.1720  0.27
Fou 1978   68  0.5232  0.0034  0.0535  0.1749  0.0645  0.10
Francois 1956   43  0.6139  0.0041  0.0641  0.1353  0.0553  0.08
Friedman 1923   88  0.1889  0.0084  0.0284  0.0257  0.0686  0.03
Friedman 1923b   86  0.2082  0.0083  0.0285  0.0270  0.0581  0.03
Friedman 1930   83  0.3675  0.0072  0.0366  0.0358  0.0569  0.04
Garcia 2007   80  0.3869  0.0078  0.0381  0.0362  0.0479  0.03
Garcia 2007b   84  0.2879  0.0085  0.0288  0.0240  0.0974  0.04
Gierzod 1998   5  0.7816  0.018  0.1010  0.492  0.4512  0.47
Gornostaeva 1994   30  0.6417  0.0160  0.0461  0.0443  0.0958  0.06
Groot 1988   56  0.5851  0.0063  0.0375  0.0359  0.0483  0.03
Harasiewicz 1955   78  0.406  0.0452  0.0746  0.0772  0.0363  0.05
Hatto 1993   35  0.6370  0.0010  0.1612  0.465  0.5211  0.49
Hatto 1997   19  0.6837  0.009  0.118  0.515  0.547  0.52
Horowitz 1949   67  0.5236  0.0073  0.0379  0.0364  0.0477  0.03
Indjic 1988   29  0.654  0.046  0.139  0.504  0.565  0.53
Kapell 1951   9  0.7424  0.0119  0.0616  0.3223  0.4015  0.36
Kissin 1993   53  0.5919  0.0122  0.0625  0.2429  0.2525  0.24
Kushner 1989   17  0.6959  0.0025  0.0526  0.2338  0.1832  0.20
Luisada 1991   13  0.702  0.127  0.1311  0.482  0.5010  0.49
Lushtak 2004   15  0.7021  0.015  0.144  0.556  0.526  0.53
Malcuzynski 1961   12  0.7154  0.0051  0.0652  0.0675  0.0365  0.04
Magaloff 1978   21  0.679  0.0245  0.0554  0.0570  0.0364  0.04
Magin 1975   42  0.6114  0.0138  0.0537  0.1616  0.2731  0.21
Michalowski 1933   70  0.4971  0.0032  0.0740  0.1321  0.4029  0.23
Milkina 1970   22  0.6687  0.0039  0.0533  0.1839  0.1736  0.17
Mohovich 1999   33  0.6331  0.0050  0.0651  0.0675  0.0372  0.04
Moravec 1969   38  0.6138  0.0037  0.0529  0.2021  0.3521  0.26
Morozova 2008   59  0.5748  0.0047  0.0650  0.0650  0.0561  0.05
Neighaus 1950   11  0.7218  0.0130  0.0634  0.1742  0.1637  0.16
Niedzielski 1931   52  0.5965  0.0062  0.0364  0.038  0.3944  0.11
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   31  0.6411  0.0142  0.0543  0.1256  0.0454  0.07
Pachmann 1927   77  0.4049  0.0075  0.0367  0.0355  0.0567  0.04
Paderewski 1930   50  0.5925  0.0170  0.0365  0.0353  0.0478  0.03
Perlemuter 1992   72  0.4572  0.0068  0.0371  0.0375  0.0375  0.03
Pierdomenico 2008   51  0.5968  0.0044  0.0544  0.1131  0.2038  0.15
Poblocka 1999   3  0.8028  0.014  0.146  0.544  0.554  0.54
Rabcewiczowa 1932   36  0.6245  0.0056  0.0553  0.0536  0.1647  0.09
Rachmaninoff 1923   66  0.5341  0.0053  0.0648  0.0653  0.0459  0.05
Rangell 2001   14  0.7030  0.0033  0.0630  0.1915  0.3026  0.24
Richter 1976   71  0.458  0.0274  0.0369  0.0348  0.0566  0.04
Rosen 1989   23  0.6620  0.0143  0.0639  0.1433  0.2534  0.19
Rosenthal 1930   64  0.5452  0.0076  0.0374  0.0346  0.0670  0.04
Rosenthal 1931   79  0.3978  0.0086  0.0286  0.0278  0.0288  0.02
Rosenthal 1931b   82  0.3888  0.0087  0.0380  0.0359  0.0484  0.03
Rosenthal 1931c   57  0.5722  0.0171  0.0368  0.0354  0.0485  0.03
Rosenthal 1931d   73  0.4476  0.0080  0.0372  0.0369  0.0382  0.03
Rossi 2007   87  0.1961  0.0082  0.0287  0.0260  0.0387  0.02
Rubinstein 1939   75  0.4257  0.0079  0.0382  0.0332  0.2946  0.09
Rubinstein 1952   61  0.563  0.0813  0.1032  0.1826  0.3127  0.24
Rubinstein 1966   46  0.6062  0.0057  0.0459  0.0442  0.1356  0.07
Schilhawsky 1960   28  0.6573  0.0027  0.0620  0.2827  0.2522  0.26
Shebanova 2002   10  0.7210  0.0112  0.127  0.515  0.538  0.52
Smith 1975   18  0.6846  0.0017  0.0818  0.3142  0.1135  0.18
Sokolov 2002   8  0.7513  0.0115  0.0915  0.3916  0.4214  0.40
Sztompka 1959   54  0.5955  0.0067  0.0460  0.0464  0.0468  0.04
Tomsic 1995   26  0.6544  0.0046  0.0557  0.0539  0.1155  0.07
Uninsky 1932   69  0.5064  0.0058  0.0462  0.0438  0.1651  0.08
Uninsky 1971   45  0.6015  0.0124  0.0642  0.1332  0.2733  0.19
Wasowski 1980   34  0.6353  0.0026  0.0731  0.188  0.3523  0.25
Zak 1937   39  0.6180  0.0036  0.0522  0.2631  0.2324  0.24
Zak 1951   58  0.5750  0.0023  0.0719  0.2941  0.1630  0.22
Random 1   89  -0.0274  0.0090  0.0190  0.0140  0.1671  0.04
Random 2   90  -0.0890  0.0089  0.0189  0.0154  0.0389  0.02
Random 3   85  0.2686  0.0081  0.0377  0.033  0.5242  0.12

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).