Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   65  0.3551  0.0063  0.0571  0.0551  0.0568  0.05
Anderszewski 2003   9  0.6013  0.0211  0.178  0.6311  0.609  0.61
Ashkenazy 1981   69  0.3370  0.0073  0.0569  0.0559  0.0380  0.04
Bacha 2000   72  0.2948  0.0060  0.0570  0.0574  0.0374  0.04
Badura 1965   67  0.3471  0.0067  0.0474  0.0460  0.0578  0.04
Barbosa 1983   5  0.646  0.057  0.156  0.6610  0.647  0.65
Biret 1990   46  0.4635  0.0035  0.0639  0.2438  0.1352  0.18
Blet 2003   68  0.3450  0.0065  0.0660  0.0653  0.0567  0.05
Block 1995   4  0.641  0.181  0.183  0.722  0.791  0.75
Blumental 1952   14  0.585  0.065  0.1514  0.5021  0.5116  0.50
Boshniakovich 1969   52  0.4316  0.0237  0.0741  0.1737  0.1951  0.18
Brailowsky 1960   3  0.653  0.093  0.237  0.642  0.744  0.69
Bunin 1987   60  0.3879  0.0068  0.0477  0.0463  0.0481  0.04
Bunin 1987b   64  0.3780  0.0069  0.0662  0.0659  0.0566  0.05
Chiu 1999   47  0.4631  0.0048  0.0853  0.0814  0.4148  0.18
Cohen 1997   80  0.2556  0.0080  0.0380  0.0378  0.0385  0.03
Cortot 1951   59  0.3920  0.0112  0.1229  0.3411  0.5627  0.44
Csalog 1996   51  0.4341  0.0041  0.0742  0.1625  0.3337  0.23
Czerny 1949   21  0.5485  0.0023  0.0927  0.4128  0.5124  0.46
Czerny 1990   2  0.652  0.152  0.212  0.749  0.762  0.75
Duchoud 2007   85  0.1686  0.0084  0.0285  0.0277  0.0390  0.02
Ezaki 2006   7  0.6218  0.019  0.1613  0.5519  0.5113  0.53
Falvay 1989   1  0.6610  0.034  0.145  0.669  0.666  0.66
Farrell 1958   45  0.4732  0.0034  0.0637  0.2432  0.3336  0.28
Ferenczy 1958   37  0.5181  0.0032  0.0731  0.315  0.6823  0.46
Fliere 1977   30  0.5233  0.0033  0.0732  0.2942  0.1344  0.19
Fou 1978   17  0.5715  0.0221  0.1015  0.5012  0.4918  0.49
Francois 1956   81  0.2487  0.0082  0.0381  0.0380  0.0386  0.03
Friedman 1923   74  0.2859  0.0070  0.0478  0.0474  0.0482  0.04
Friedman 1923b   75  0.2861  0.0074  0.0572  0.0553  0.0670  0.05
Friedman 1930   76  0.2760  0.0071  0.0379  0.0360  0.0577  0.04
Garcia 2007   77  0.2673  0.0078  0.0663  0.0652  0.0569  0.05
Garcia 2007b   66  0.3566  0.0059  0.0567  0.0555  0.0573  0.05
Gierzod 1998   18  0.579  0.0415  0.1318  0.4833  0.3329  0.40
Gornostaeva 1994   33  0.5138  0.0046  0.0757  0.0728  0.3754  0.16
Groot 1988   49  0.4468  0.0036  0.0634  0.2520  0.3435  0.29
Harasiewicz 1955   11  0.5934  0.0020  0.1116  0.5028  0.4721  0.48
Hatto 1993   28  0.5221  0.0117  0.1119  0.4821  0.4722  0.47
Hatto 1997   31  0.5243  0.0019  0.1221  0.4625  0.4226  0.44
Horowitz 1949   71  0.3254  0.0075  0.0565  0.0546  0.0763  0.06
Indjic 1988   27  0.5326  0.0018  0.1417  0.4922  0.4720  0.48
Kapell 1951   6  0.634  0.066  0.121  0.744  0.723  0.73
Kissin 1993   24  0.5411  0.0328  0.0930  0.3320  0.5128  0.41
Kushner 1989   25  0.5339  0.0029  0.1025  0.4439  0.2830  0.35
Luisada 1991   38  0.5036  0.0055  0.1145  0.1127  0.3147  0.18
Lushtak 2004   13  0.5819  0.0116  0.1111  0.5610  0.5611  0.56
Malcuzynski 1961   39  0.4874  0.0038  0.0735  0.2541  0.1741  0.21
Magaloff 1978   23  0.5440  0.0031  0.0728  0.3913  0.5025  0.44
Magin 1975   40  0.4814  0.0247  0.0756  0.0732  0.2757  0.14
Michalowski 1933   86  0.1055  0.0086  0.0288  0.0287  0.0289  0.02
Milkina 1970   19  0.5629  0.0024  0.1023  0.4636  0.2631  0.35
Mohovich 1999   8  0.617  0.058  0.184  0.674  0.685  0.67
Moravec 1969   16  0.5882  0.0022  0.1026  0.4310  0.5617  0.49
Morozova 2008   41  0.4728  0.0049  0.0949  0.0928  0.3253  0.17
Neighaus 1950   70  0.3249  0.0072  0.0476  0.0435  0.1958  0.09
Niedzielski 1931   78  0.2669  0.0077  0.0473  0.0462  0.0576  0.04
Ohlsson 1999   62  0.3742  0.0064  0.0759  0.0757  0.0564  0.06
Osinska 1989   15  0.5822  0.0110  0.1712  0.5521  0.5512  0.55
Pachmann 1927   79  0.2544  0.0079  0.0475  0.0442  0.1360  0.07
Paderewski 1930   88  0.0088  0.0088  0.0286  0.0286  0.0288  0.02
Perlemuter 1992   82  0.2346  0.0083  0.0284  0.0285  0.0287  0.02
Pierdomenico 2008   83  0.1975  0.0081  0.0283  0.0268  0.0484  0.03
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   48  0.4676  0.0042  0.0940  0.2033  0.2438  0.22
Rachmaninoff 1923   43  0.4753  0.0039  0.0738  0.2419  0.4532  0.33
Rangell 2001   53  0.4372  0.0061  0.0661  0.0667  0.0571  0.05
Richter 1976   22  0.5437  0.0025  0.1024  0.4511  0.6214  0.53
Rosen 1989   50  0.4489  0.0056  0.0852  0.0850  0.0565  0.06
Rosenthal 1930   56  0.4162  0.0054  0.0951  0.0913  0.5540  0.22
Rosenthal 1931   54  0.4227  0.0052  0.0948  0.0911  0.5142  0.21
Rosenthal 1931b   73  0.2863  0.0076  0.0566  0.0549  0.0572  0.05
Rosenthal 1931c   58  0.4157  0.0053  0.0950  0.0919  0.4146  0.19
Rosenthal 1931d   63  0.3764  0.0058  0.0664  0.0620  0.4555  0.16
Rossi 2007   84  0.1825  0.0085  0.0382  0.0382  0.0383  0.03
Rubinstein 1939   42  0.4783  0.0051  0.1146  0.1129  0.3345  0.19
Rubinstein 1952   10  0.6017  0.0113  0.129  0.628  0.638  0.62
Rubinstein 1966   12  0.5912  0.0314  0.1210  0.5627  0.4615  0.51
Schilhawsky 1960   44  0.4724  0.0026  0.0933  0.2829  0.3934  0.33
Shebanova 2002   36  0.5152  0.0044  0.0744  0.1424  0.3343  0.21
Smith 1975   32  0.5258  0.0040  0.0936  0.2418  0.4633  0.33
Sokolov 2002   61  0.3747  0.0066  0.0568  0.0558  0.0475  0.04
Sztompka 1959   26  0.538  0.0527  0.0820  0.478  0.6610  0.56
Tomsic 1995   55  0.4165  0.0057  0.0758  0.0757  0.0662  0.06
Uninsky 1932   57  0.4167  0.0062  0.0854  0.0832  0.2856  0.15
Uninsky 1971   35  0.5123  0.0143  0.0743  0.1430  0.3639  0.22
Wasowski 1980   20  0.5430  0.0030  0.1222  0.4615  0.5119  0.48
Zak 1937   29  0.5245  0.0045  0.0855  0.0822  0.4249  0.18
Zak 1951   34  0.5184  0.0050  0.1147  0.1131  0.2850  0.18
Random 1   89  0.0077  0.0089  0.0289  0.0223  0.3259  0.08
Random 2   87  0.0778  0.0087  0.0287  0.0225  0.2861  0.07
Random 3   90  -0.1190  0.0090  0.0190  0.0135  0.1679  0.04

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).