Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.4642  0.0067  0.0555  0.0520  0.4265  0.14
Anderszewski 2003   13  0.5829  0.0024  0.1318  0.5017  0.5219  0.51
Ashkenazy 1981   74  0.4174  0.0077  0.0560  0.0538  0.1975  0.10
Bacha 2000   72  0.4143  0.0041  0.0742  0.1318  0.4142  0.23
Badura 1965   71  0.4110  0.0173  0.0557  0.0557  0.0584  0.05
Barbosa 1983   23  0.5623  0.0018  0.0820  0.4619  0.5123  0.48
Biret 1990   3  0.6353  0.003  0.227  0.595  0.638  0.61
Blet 2003   49  0.498  0.0138  0.0840  0.183  0.6040  0.33
Block 1995   54  0.4620  0.0047  0.0650  0.0619  0.4650  0.17
Blumental 1952   17  0.5724  0.0019  0.1121  0.4616  0.5816  0.52
Boshniakovich 1969   40  0.532  0.0315  0.1114  0.5113  0.5021  0.50
Brailowsky 1960   5  0.623  0.025  0.169  0.595  0.725  0.65
Bunin 1987   58  0.4575  0.0061  0.0553  0.0515  0.4167  0.14
Bunin 1987b   61  0.4469  0.0062  0.0646  0.0616  0.4352  0.16
Chiu 1999   51  0.4864  0.0060  0.0568  0.059  0.4655  0.15
Cohen 1997   82  0.3380  0.0080  0.0381  0.0364  0.0489  0.03
Cortot 1951   83  0.3270  0.0082  0.0385  0.0332  0.3276  0.10
Csalog 1996   26  0.555  0.0129  0.1025  0.436  0.6118  0.51
Czerny 1949   50  0.4865  0.0048  0.0552  0.0532  0.4458  0.15
Czerny 1990   36  0.5446  0.0034  0.0828  0.3931  0.5030  0.44
Duchoud 2007   78  0.3433  0.0074  0.0476  0.0415  0.5359  0.15
Ezaki 2006   11  0.6015  0.0023  0.1415  0.5119  0.5315  0.52
Falvay 1989   4  0.6244  0.0013  0.125  0.6313  0.626  0.62
Farrell 1958   70  0.4176  0.0059  0.0556  0.0524  0.4163  0.14
Ferenczy 1958   39  0.5313  0.0149  0.0569  0.057  0.6746  0.18
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   6  0.627  0.019  0.1410  0.563  0.659  0.60
Francois 1956   73  0.4148  0.0071  0.0559  0.0516  0.4268  0.14
Friedman 1923   80  0.3436  0.0078  0.0387  0.0345  0.0887  0.05
Friedman 1923b   85  0.3037  0.0084  0.0386  0.0377  0.0490  0.03
Friedman 1930   75  0.3681  0.0076  0.0573  0.0558  0.0683  0.05
Garcia 2007   67  0.4260  0.0066  0.0558  0.0516  0.5053  0.16
Garcia 2007b   53  0.4749  0.0045  0.0545  0.1022  0.4444  0.21
Gierzod 1998   2  0.6630  0.004  0.302  0.724  0.652  0.68
Gornostaeva 1994   27  0.5547  0.0031  0.0736  0.2915  0.5137  0.38
Groot 1988   31  0.5487  0.0012  0.1122  0.4411  0.5224  0.48
Harasiewicz 1955   15  0.5854  0.0026  0.0823  0.4427  0.5027  0.47
Hatto 1993   32  0.5422  0.0033  0.0827  0.4024  0.4334  0.41
Hatto 1997   34  0.5488  0.0039  0.1133  0.3630  0.3938  0.37
Horowitz 1949   84  0.3189  0.0085  0.0388  0.0346  0.0882  0.05
Indjic 1988   30  0.5552  0.0036  0.0832  0.3724  0.4435  0.40
Kapell 1951   29  0.5511  0.0127  0.0834  0.3524  0.5032  0.42
Kissin 1993   62  0.4432  0.0057  0.0647  0.0647  0.1078  0.08
Kushner 1989   9  0.616  0.016  0.163  0.6910  0.634  0.66
Luisada 1991   37  0.5440  0.0037  0.0739  0.248  0.6136  0.38
Lushtak 2004   18  0.579  0.0110  0.1313  0.5113  0.5614  0.53
Malcuzynski 1961   25  0.5656  0.0017  0.0919  0.4716  0.5320  0.50
Magaloff 1978   21  0.5639  0.0022  0.1429  0.3911  0.5528  0.46
Magin 1975   14  0.5831  0.0021  0.0930  0.3916  0.5329  0.45
Michalowski 1933   87  0.2621  0.0087  0.0480  0.0420  0.4072  0.13
Milkina 1970   10  0.6016  0.0014  0.136  0.6018  0.5211  0.56
Mohovich 1999   8  0.6219  0.007  0.138  0.597  0.657  0.62
Moravec 1969   19  0.5735  0.0025  0.0731  0.387  0.6122  0.48
Morozova 2008   64  0.4361  0.0064  0.0554  0.0546  0.1079  0.07
Neighaus 1950   81  0.3362  0.0081  0.0477  0.0438  0.1380  0.07
Niedzielski 1931   77  0.3582  0.0075  0.0479  0.0427  0.3073  0.11
Ohlsson 1999   57  0.4577  0.0054  0.0478  0.0423  0.4271  0.13
Osinska 1989   7  0.6238  0.008  0.124  0.6913  0.643  0.66
Pachmann 1927   86  0.3059  0.0086  0.0383  0.0345  0.1281  0.06
Paderewski 1930   88  0.1857  0.0088  0.0382  0.0364  0.0488  0.03
Perlemuter 1992   63  0.4318  0.0056  0.0561  0.055  0.5748  0.17
Pierdomenico 2008   76  0.3590  0.0079  0.0384  0.0337  0.2777  0.09
Poblocka 1999   42  0.5251  0.0043  0.0643  0.1333  0.2945  0.19
Rabcewiczowa 1932   41  0.524  0.012  0.1612  0.524  0.5712  0.54
Rachmaninoff 1923   33  0.5414  0.0111  0.1226  0.408  0.5625  0.47
Rangell 2001   79  0.3483  0.0083  0.0475  0.0460  0.0686  0.05
Richter 1976   44  0.5126  0.0053  0.0572  0.0523  0.4456  0.15
Rosen 1989   12  0.6071  0.0016  0.0911  0.534  0.6810  0.60
Rosenthal 1930   48  0.4934  0.0052  0.0474  0.0416  0.5266  0.14
Rosenthal 1931   69  0.4155  0.0070  0.0564  0.0521  0.4264  0.14
Rosenthal 1931b   59  0.4472  0.0069  0.0648  0.0616  0.5051  0.17
Rosenthal 1931c   45  0.5041  0.0042  0.0641  0.1714  0.6041  0.32
Rosenthal 1931d   65  0.4384  0.0068  0.0562  0.0520  0.4660  0.15
Rossi 2007   68  0.4278  0.0072  0.0571  0.0521  0.4061  0.14
Rubinstein 1939   47  0.4963  0.0051  0.0565  0.0527  0.3862  0.14
Rubinstein 1952   16  0.5812  0.0120  0.1016  0.5017  0.5417  0.52
Rubinstein 1966   22  0.5666  0.0028  0.1017  0.5029  0.4526  0.47
Schilhawsky 1960   35  0.5458  0.0040  0.0837  0.286  0.6133  0.41
Shebanova 2002   43  0.5127  0.0035  0.0838  0.2612  0.5139  0.36
Smith 1975   20  0.5617  0.0030  0.0924  0.435  0.6513  0.53
Sokolov 2002   66  0.4225  0.0065  0.0567  0.0524  0.4354  0.15
Sztompka 1959   56  0.4545  0.0055  0.0563  0.0528  0.4357  0.15
Tomsic 1995   52  0.4791  0.0063  0.0649  0.0627  0.2970  0.13
Uninsky 1932   60  0.4467  0.0058  0.0570  0.0519  0.5749  0.17
Uninsky 1971   24  0.5668  0.0032  0.0835  0.3113  0.5931  0.43
Wasowski 1980   46  0.5073  0.0046  0.0651  0.0621  0.4747  0.17
Zak 1937   28  0.5550  0.0044  0.0544  0.1119  0.4843  0.23
Zak 1951   38  0.5428  0.0050  0.0566  0.0526  0.3669  0.13
Average   1  0.771  0.791  0.781  0.887  0.711  0.79
Random 1   90  -0.0385  0.0090  0.0190  0.0128  0.2685  0.05
Random 2   91  -0.0486  0.0091  0.0191  0.0167  0.0391  0.02
Random 3   89  0.0279  0.0089  0.0289  0.028  0.4774  0.10

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).