Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   64  0.4178  0.0072  0.0376  0.0332  0.2474  0.08
Anderszewski 2003   23  0.587  0.0116  0.1516  0.625  0.6816  0.65
Ashkenazy 1981   73  0.3667  0.0081  0.0385  0.0368  0.0388  0.03
Bacha 2000   82  0.3286  0.0082  0.0383  0.0360  0.0482  0.03
Badura 1965   47  0.4941  0.0044  0.0844  0.164  0.6043  0.31
Barbosa 1983   24  0.5855  0.0027  0.1121  0.5514  0.6120  0.58
Biret 1990   30  0.5535  0.0026  0.1025  0.5212  0.5532  0.53
Blet 2003   65  0.4074  0.0066  0.0468  0.0434  0.1973  0.09
Block 1995   63  0.4137  0.0060  0.0661  0.0634  0.2665  0.12
Blumental 1952   42  0.5028  0.0047  0.0846  0.0831  0.4448  0.19
Boshniakovich 1969   27  0.5758  0.0021  0.0919  0.597  0.6119  0.60
Brailowsky 1960   59  0.4431  0.0048  0.0563  0.0539  0.2366  0.11
Bunin 1987   49  0.4845  0.0043  0.0843  0.167  0.5844  0.30
Bunin 1987b   46  0.4930  0.0040  0.0740  0.234  0.6239  0.38
Chiu 1999   51  0.4865  0.0056  0.0653  0.0614  0.4255  0.16
Cohen 1997   70  0.3759  0.0071  0.0377  0.0330  0.1876  0.07
Cortot 1951   79  0.3360  0.0070  0.0473  0.0425  0.4062  0.13
Csalog 1996   31  0.5575  0.0033  0.1128  0.495  0.6623  0.57
Czerny 1949   16  0.6076  0.0022  0.0818  0.5912  0.6918  0.64
Czerny 1990   9  0.668  0.019  0.157  0.705  0.786  0.74
Duchoud 2007   75  0.3556  0.0068  0.0471  0.0418  0.5159  0.14
Ezaki 2006   14  0.6412  0.0115  0.1610  0.684  0.7011  0.69
Falvay 1989   4  0.6910  0.013  0.282  0.812  0.812  0.81
Farrell 1958   52  0.4719  0.0030  0.0938  0.3512  0.6338  0.47
Ferenczy 1958   32  0.5529  0.0046  0.0657  0.068  0.6645  0.20
Fliere 1977   15  0.6232  0.0017  0.1013  0.644  0.6914  0.66
Fou 1978   18  0.5961  0.0037  0.1431  0.457  0.5634  0.50
Francois 1956   67  0.4062  0.0069  0.0474  0.0445  0.1378  0.07
Friedman 1923   81  0.3326  0.0078  0.0567  0.0536  0.2170  0.10
Friedman 1923b   74  0.3523  0.0077  0.0469  0.0432  0.2768  0.10
Friedman 1930   66  0.4068  0.0065  0.0566  0.0525  0.3661  0.13
Garcia 2007   68  0.3936  0.0058  0.0652  0.0612  0.5250  0.18
Garcia 2007b   43  0.495  0.0319  0.0933  0.448  0.6233  0.52
Gierzod 1998   2  0.732  0.124  0.313  0.812  0.813  0.81
Gornostaeva 1994   28  0.5713  0.0118  0.0934  0.4311  0.5736  0.50
Groot 1988   62  0.4240  0.0055  0.0655  0.0635  0.1769  0.10
Harasiewicz 1955   3  0.704  0.035  0.334  0.774  0.794  0.78
Hatto 1993   10  0.6642  0.0010  0.2111  0.664  0.7510  0.70
Hatto 1997   8  0.6757  0.008  0.189  0.684  0.778  0.72
Horowitz 1949   86  0.2387  0.0088  0.0378  0.0381  0.0385  0.03
Indjic 1988   5  0.6714  0.017  0.208  0.694  0.795  0.74
Kapell 1951   22  0.5869  0.0025  0.1123  0.5513  0.6021  0.57
Kissin 1993   29  0.5670  0.0039  0.0939  0.2415  0.5640  0.37
Kushner 1989   6  0.673  0.042  0.255  0.743  0.737  0.73
Luisada 1991   55  0.4779  0.0062  0.0749  0.0725  0.3854  0.16
Lushtak 2004   17  0.606  0.0212  0.1315  0.634  0.7113  0.67
Malcuzynski 1961   33  0.5516  0.0020  0.1024  0.5310  0.5926  0.56
Magaloff 1978   44  0.4980  0.0054  0.0650  0.0632  0.3356  0.14
Magin 1975   26  0.5843  0.0036  0.1035  0.434  0.6731  0.54
Michalowski 1933   85  0.2571  0.0085  0.0288  0.0230  0.2375  0.07
Milkina 1970   7  0.6715  0.016  0.206  0.712  0.699  0.70
Mohovich 1999   35  0.5453  0.0031  0.1126  0.5211  0.6027  0.56
Moravec 1969   40  0.5225  0.0045  0.0645  0.1230  0.3146  0.19
Morozova 2008   41  0.5239  0.0032  0.1036  0.427  0.6035  0.50
Neighaus 1950   77  0.3449  0.0080  0.0287  0.0266  0.0489  0.03
Niedzielski 1931   87  0.2318  0.0087  0.0384  0.0372  0.0484  0.03
Ohlsson 1999   38  0.5438  0.0029  0.1027  0.493  0.6722  0.57
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   71  0.3747  0.0074  0.0475  0.0433  0.3067  0.11
Paderewski 1930   88  0.2388  0.0086  0.0286  0.0252  0.0586  0.03
Perlemuter 1992   50  0.4866  0.0050  0.0658  0.063  0.5947  0.19
Pierdomenico 2008   45  0.4944  0.0049  0.0565  0.055  0.6349  0.18
Poblocka 1999   21  0.5820  0.0024  0.1022  0.5513  0.5528  0.55
Rabcewiczowa 1932   58  0.4464  0.0053  0.0747  0.0736  0.2063  0.12
Rachmaninoff 1923   78  0.3489  0.0075  0.0382  0.0364  0.0483  0.03
Rangell 2001   56  0.4748  0.0052  0.0651  0.0614  0.5351  0.18
Richter 1976   53  0.4754  0.0059  0.0656  0.0632  0.3060  0.13
Rosen 1989   20  0.5950  0.0038  0.1732  0.452  0.6829  0.55
Rosenthal 1930   83  0.3172  0.0084  0.0380  0.0378  0.0387  0.03
Rosenthal 1931   72  0.3724  0.0076  0.0379  0.0332  0.2772  0.09
Rosenthal 1931b   84  0.3190  0.0083  0.0381  0.0374  0.0490  0.03
Rosenthal 1931c   69  0.3751  0.0073  0.0470  0.0443  0.1079  0.06
Rosenthal 1931d   80  0.3346  0.0079  0.0472  0.0442  0.1377  0.07
Rossi 2007   61  0.4321  0.0063  0.0660  0.0613  0.4752  0.17
Rubinstein 1939   57  0.4681  0.0057  0.0659  0.0633  0.3258  0.14
Rubinstein 1952   19  0.5963  0.0023  0.1020  0.5714  0.5725  0.57
Rubinstein 1966   12  0.6417  0.0013  0.1312  0.6512  0.6617  0.65
Schilhawsky 1960   39  0.5352  0.0041  0.0741  0.218  0.5941  0.35
Shebanova 2002   36  0.5422  0.0028  0.1129  0.483  0.6724  0.57
Smith 1975   48  0.4811  0.0161  0.0748  0.0732  0.2957  0.14
Sokolov 2002   60  0.4391  0.0067  0.0562  0.0541  0.1671  0.09
Sztompka 1959   54  0.4773  0.0051  0.0654  0.0625  0.4753  0.17
Tomsic 1995   34  0.5427  0.0034  0.0937  0.377  0.6237  0.48
Uninsky 1932   76  0.3582  0.0064  0.0564  0.0534  0.2764  0.12
Uninsky 1971   37  0.5477  0.0042  0.0842  0.2014  0.5442  0.33
Wasowski 1980   25  0.5833  0.0035  0.0930  0.454  0.6430  0.54
Zak 1937   11  0.649  0.0111  0.1517  0.603  0.7315  0.66
Zak 1951   13  0.6434  0.0014  0.1614  0.633  0.7612  0.69
Average   1  0.771  0.631  0.631  0.882  0.781  0.83
Random 1   90  -0.0283  0.0090  0.0190  0.0140  0.1880  0.04
Random 2   89  0.0284  0.0089  0.0189  0.0155  0.0491  0.02
Random 3   91  -0.0885  0.0091  0.0191  0.0134  0.1981  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).