Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7621  0.017  0.127  0.5013  0.4611  0.48
Anderszewski 2003   44  0.6140  0.0018  0.0925  0.2611  0.4523  0.34
Ashkenazy 1981   34  0.6320  0.0115  0.1216  0.3619  0.4216  0.39
Bacha 2000   70  0.5180  0.0054  0.0556  0.0528  0.2346  0.11
Badura 1965   52  0.5875  0.0038  0.0532  0.1918  0.3829  0.27
Barbosa 1983   78  0.4270  0.0068  0.0470  0.0446  0.0766  0.05
Biret 1990   33  0.6384  0.0034  0.0630  0.2121  0.3131  0.26
Blet 2003   12  0.7247  0.0025  0.0818  0.3310  0.4317  0.38
Block 1995   55  0.5744  0.0058  0.0466  0.0438  0.1258  0.07
Blumental 1952   77  0.4415  0.0129  0.0631  0.2018  0.2335  0.21
Boshniakovich 1969   21  0.6813  0.0136  0.0536  0.1615  0.4130  0.26
Brailowsky 1960   71  0.5061  0.0077  0.0381  0.0365  0.0481  0.03
Bunin 1987   42  0.6173  0.0040  0.0642  0.1314  0.4334  0.24
Bunin 1987b   43  0.6171  0.0039  0.0541  0.1314  0.4433  0.24
Chiu 1999   81  0.4167  0.0062  0.0561  0.0552  0.0562  0.05
Cohen 1997   86  0.3282  0.0079  0.0469  0.0429  0.1852  0.08
Cortot 1951   16  0.6951  0.0021  0.0917  0.357  0.4913  0.41
Csalog 1996   26  0.646  0.0624  0.0834  0.172  0.6525  0.33
Czerny 1949   17  0.6985  0.0019  0.1114  0.4020  0.3915  0.39
Czerny 1990   20  0.6864  0.0037  0.0533  0.1840  0.1143  0.14
Duchoud 2007   36  0.6365  0.0033  0.0629  0.237  0.4227  0.31
Ezaki 2006   18  0.6827  0.0131  0.0627  0.2437  0.1636  0.20
Falvay 1989   68  0.5134  0.0081  0.0467  0.0448  0.0763  0.05
Farrell 1958   62  0.5457  0.0064  0.0383  0.0364  0.0484  0.03
Ferenczy 1958   6  0.7539  0.0010  0.1110  0.472  0.682  0.57
Fliere 1977   2  0.783  0.083  0.182  0.5712  0.477  0.52
Fou 1978   58  0.5546  0.0059  0.0553  0.0561  0.0475  0.04
Francois 1956   51  0.5860  0.0060  0.0559  0.0554  0.0570  0.05
Friedman 1923   85  0.3443  0.0066  0.0385  0.0344  0.1071  0.05
Friedman 1923b   84  0.3562  0.0063  0.0376  0.0357  0.0677  0.04
Friedman 1930   75  0.4466  0.0067  0.0471  0.0442  0.1550  0.08
Garcia 2007   60  0.5549  0.0047  0.0552  0.0511  0.4341  0.15
Garcia 2007b   79  0.4163  0.0061  0.0468  0.0437  0.1359  0.07
Gierzod 1998   4  0.778  0.046  0.153  0.566  0.554  0.55
Gornostaeva 1994   46  0.6086  0.0071  0.0465  0.0466  0.0388  0.03
Groot 1988   56  0.5630  0.0065  0.0382  0.0350  0.0579  0.04
Harasiewicz 1955   63  0.5468  0.0028  0.0628  0.2338  0.1637  0.19
Hatto 1993   67  0.5232  0.0014  0.1226  0.2511  0.4822  0.35
Hatto 1997   54  0.577  0.058  0.1319  0.3310  0.4714  0.39
Horowitz 1949   50  0.5925  0.0148  0.0650  0.0620  0.4140  0.16
Indjic 1988   64  0.5418  0.0113  0.1124  0.2710  0.5018  0.37
Kapell 1951   1  0.801  0.191  0.181  0.581  0.533  0.55
Kissin 1993   11  0.7211  0.0217  0.0820  0.3225  0.2928  0.30
Kushner 1989   15  0.7024  0.0141  0.0540  0.1446  0.0648  0.09
Luisada 1991   38  0.6128  0.0027  0.0838  0.1538  0.1342  0.14
Lushtak 2004   28  0.6422  0.0123  0.1115  0.3716  0.3421  0.35
Malcuzynski 1961   29  0.6336  0.0056  0.0558  0.0543  0.1156  0.07
Magaloff 1978   59  0.5558  0.0075  0.0384  0.0362  0.0483  0.03
Magin 1975   45  0.609  0.0335  0.0543  0.1052  0.0555  0.07
Michalowski 1933   39  0.6129  0.0016  0.1211  0.448  0.4812  0.46
Milkina 1970   25  0.6553  0.0055  0.0651  0.0657  0.0565  0.05
Mohovich 1999   24  0.6531  0.0049  0.0648  0.0643  0.1051  0.08
Moravec 1969   66  0.5369  0.0074  0.0380  0.0346  0.0761  0.05
Morozova 2008   48  0.6045  0.0051  0.0646  0.0661  0.0467  0.05
Neighaus 1950   19  0.6823  0.0120  0.0812  0.4119  0.3419  0.37
Niedzielski 1931   41  0.6154  0.0045  0.0464  0.049  0.4544  0.13
Ohlsson 1999   13  0.7117  0.015  0.135  0.525  0.546  0.53
Osinska 1989   14  0.7150  0.0026  0.0821  0.3025  0.3426  0.32
Pachmann 1927   65  0.5377  0.0073  0.0374  0.0329  0.1949  0.08
Paderewski 1930   23  0.6610  0.0230  0.0722  0.286  0.4320  0.35
Perlemuter 1992   49  0.5974  0.0046  0.0555  0.0543  0.0954  0.07
Pierdomenico 2008   73  0.4778  0.0076  0.0378  0.0349  0.0764  0.05
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   40  0.6179  0.0053  0.0647  0.0629  0.2545  0.12
Rachmaninoff 1923   72  0.4990  0.0069  0.0554  0.0578  0.0372  0.04
Rangell 2001   57  0.5633  0.0057  0.0462  0.0439  0.1753  0.08
Richter 1976   10  0.725  0.0712  0.1213  0.401  0.648  0.51
Rosen 1989   22  0.6638  0.0052  0.0845  0.0853  0.0560  0.06
Rosenthal 1930   47  0.6081  0.0070  0.0560  0.0543  0.0957  0.07
Rosenthal 1931   80  0.4176  0.0085  0.0287  0.0256  0.0486  0.03
Rosenthal 1931b   82  0.4189  0.0086  0.0473  0.0473  0.0389  0.03
Rosenthal 1931c   61  0.5442  0.0080  0.0463  0.0456  0.0480  0.04
Rosenthal 1931d   76  0.4487  0.0084  0.0386  0.0363  0.0578  0.04
Rossi 2007   87  0.2472  0.0087  0.0375  0.0367  0.0482  0.03
Rubinstein 1939   83  0.3716  0.0183  0.0472  0.0458  0.0574  0.04
Rubinstein 1952   74  0.4619  0.0182  0.0557  0.0557  0.0569  0.05
Rubinstein 1966   69  0.5126  0.0178  0.0377  0.0350  0.0676  0.04
Schilhawsky 1960   3  0.772  0.172  0.244  0.551  0.611  0.58
Shebanova 2002   8  0.7512  0.0211  0.116  0.528  0.565  0.54
Smith 1975   35  0.6348  0.0050  0.0649  0.0677  0.0373  0.04
Sokolov 2002   31  0.6356  0.0044  0.0444  0.0937  0.2939  0.16
Sztompka 1959   9  0.7414  0.019  0.138  0.4913  0.4810  0.48
Tomsic 1995   53  0.5859  0.0072  0.0379  0.0359  0.0485  0.03
Uninsky 1932   32  0.6337  0.0022  0.1023  0.2719  0.4424  0.34
Uninsky 1971   7  0.754  0.084  0.149  0.487  0.519  0.49
Wasowski 1980   30  0.6335  0.0032  0.0535  0.1610  0.3932  0.25
Zak 1937   27  0.6441  0.0042  0.0539  0.1533  0.2138  0.18
Zak 1951   37  0.6252  0.0043  0.0837  0.1656  0.0647  0.10
Random 1   90  -0.1383  0.0090  0.0190  0.0159  0.0490  0.02
Random 2   89  -0.1155  0.0088  0.0288  0.0237  0.1368  0.05
Random 3   88  -0.0488  0.0089  0.0289  0.0245  0.0687  0.03

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).