Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7251  0.0032  0.0722  0.3229  0.2330  0.27
Anderszewski 2003   49  0.606  0.047  0.0819  0.3313  0.4817  0.40
Ashkenazy 1981   12  0.737  0.039  0.096  0.5112  0.457  0.48
Bacha 2000   33  0.6654  0.0059  0.0463  0.0420  0.3345  0.11
Badura 1965   65  0.4912  0.0146  0.0452  0.0434  0.2247  0.09
Barbosa 1983   53  0.5726  0.0124  0.0624  0.3014  0.4120  0.35
Biret 1990   4  0.7847  0.0011  0.105  0.534  0.495  0.51
Blet 2003   11  0.7448  0.0016  0.089  0.4814  0.4013  0.44
Block 1995   64  0.5156  0.0079  0.0372  0.0347  0.0565  0.04
Blumental 1952   75  0.4329  0.0031  0.0838  0.1518  0.2434  0.19
Boshniakovich 1969   52  0.5713  0.0169  0.0378  0.0359  0.0480  0.03
Brailowsky 1960   50  0.5960  0.0073  0.0453  0.0447  0.0655  0.05
Bunin 1987   46  0.6242  0.0051  0.0645  0.0641  0.1249  0.08
Bunin 1987b   45  0.6246  0.0050  0.0467  0.0440  0.1252  0.07
Chiu 1999   74  0.4361  0.0060  0.0454  0.0459  0.0460  0.04
Cohen 1997   68  0.4818  0.016  0.0841  0.136  0.4832  0.25
Cortot 1951   14  0.7332  0.0021  0.1014  0.439  0.4812  0.45
Csalog 1996   24  0.692  0.144  0.1421  0.323  0.5714  0.43
Czerny 1949   47  0.6182  0.0041  0.0535  0.1733  0.2036  0.18
Czerny 1990   15  0.7278  0.0025  0.0816  0.4230  0.2327  0.31
Duchoud 2007   6  0.7521  0.0110  0.087  0.5010  0.466  0.48
Ezaki 2006   7  0.7510  0.0119  0.1010  0.4827  0.2423  0.34
Falvay 1989   29  0.6835  0.0033  0.0627  0.2539  0.1335  0.18
Farrell 1958   34  0.6643  0.0062  0.0449  0.0438  0.1151  0.07
Ferenczy 1958   2  0.813  0.062  0.153  0.572  0.642  0.60
Fliere 1977   5  0.769  0.0126  0.0920  0.3349  0.0542  0.13
Fou 1978   63  0.5240  0.0074  0.0368  0.0367  0.0472  0.03
Francois 1956   44  0.6259  0.0042  0.0639  0.1539  0.1244  0.13
Friedman 1923   88  0.1075  0.0087  0.0287  0.0261  0.0587  0.03
Friedman 1923b   87  0.1176  0.0086  0.0384  0.0371  0.0566  0.04
Friedman 1930   82  0.3166  0.0066  0.0371  0.0342  0.0958  0.05
Garcia 2007   76  0.4362  0.0065  0.0376  0.0338  0.1753  0.07
Garcia 2007b   85  0.1768  0.0085  0.0377  0.0377  0.0386  0.03
Gierzod 1998   13  0.7311  0.0127  0.1115  0.436  0.3818  0.40
Gornostaeva 1994   42  0.6233  0.0071  0.0462  0.0470  0.0382  0.03
Groot 1988   26  0.6825  0.0156  0.0461  0.0452  0.0467  0.04
Harasiewicz 1955   79  0.3638  0.0055  0.0374  0.0375  0.0384  0.03
Hatto 1993   72  0.4636  0.0015  0.1131  0.249  0.4225  0.32
Hatto 1997   56  0.554  0.058  0.0926  0.2811  0.4321  0.35
Horowitz 1949   70  0.4783  0.0077  0.0380  0.0369  0.0376  0.03
Indjic 1988   67  0.4928  0.0014  0.1029  0.2410  0.4224  0.32
Kapell 1951   1  0.841  0.341  0.341  0.641  0.581  0.61
Kissin 1993   43  0.6249  0.0064  0.0369  0.0352  0.0564  0.04
Kushner 1989   30  0.6834  0.0052  0.0373  0.0361  0.0473  0.03
Luisada 1991   48  0.6023  0.0135  0.0636  0.1739  0.1438  0.15
Lushtak 2004   19  0.715  0.053  0.152  0.585  0.543  0.56
Malcuzynski 1961   23  0.6914  0.0161  0.0455  0.0472  0.0375  0.03
Magaloff 1978   28  0.6837  0.0044  0.0644  0.1153  0.0450  0.07
Magin 1975   69  0.4722  0.0176  0.0383  0.0363  0.0371  0.03
Michalowski 1933   66  0.4927  0.0117  0.0913  0.448  0.4611  0.45
Milkina 1970   35  0.6584  0.0070  0.0379  0.0364  0.0474  0.03
Mohovich 1999   17  0.7230  0.0037  0.0632  0.2135  0.1237  0.16
Moravec 1969   40  0.6465  0.0053  0.0459  0.0425  0.2946  0.11
Morozova 2008   61  0.5245  0.0054  0.0456  0.0471  0.0377  0.03
Neighaus 1950   31  0.6667  0.0039  0.0442  0.1240  0.1741  0.14
Niedzielski 1931   60  0.5463  0.0067  0.0547  0.0514  0.3343  0.13
Ohlsson 1999   3  0.8016  0.015  0.104  0.556  0.544  0.54
Osinska 1989   10  0.7431  0.0023  0.0718  0.408  0.4215  0.41
Pachmann 1927   73  0.4457  0.0080  0.0450  0.0459  0.0463  0.04
Paderewski 1930   8  0.758  0.0318  0.0817  0.414  0.4910  0.45
Perlemuter 1992   58  0.5424  0.0149  0.0375  0.0352  0.0559  0.04
Pierdomenico 2008   62  0.5279  0.0072  0.0458  0.0472  0.0370  0.03
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   36  0.6558  0.0038  0.0634  0.2122  0.3528  0.27
Rachmaninoff 1923   78  0.4080  0.0068  0.0457  0.0481  0.0369  0.03
Rangell 2001   27  0.6819  0.0143  0.0443  0.1133  0.1940  0.14
Richter 1976   39  0.6415  0.0136  0.0633  0.2112  0.3629  0.27
Rosen 1989   32  0.6672  0.0058  0.0464  0.0441  0.1648  0.08
Rosenthal 1930   57  0.5571  0.0078  0.0381  0.0375  0.0379  0.03
Rosenthal 1931   80  0.3487  0.0083  0.0286  0.0287  0.0288  0.02
Rosenthal 1931b   81  0.3488  0.0084  0.0382  0.0382  0.0290  0.02
Rosenthal 1931c   51  0.5973  0.0075  0.0451  0.0465  0.0385  0.03
Rosenthal 1931d   77  0.4269  0.0082  0.0385  0.0373  0.0383  0.03
Rossi 2007   84  0.2177  0.0081  0.0370  0.0350  0.0468  0.03
Rubinstein 1939   83  0.3085  0.0047  0.0460  0.0446  0.0656  0.05
Rubinstein 1952   54  0.5650  0.0045  0.0448  0.0444  0.0954  0.06
Rubinstein 1966   38  0.6453  0.0048  0.0546  0.0546  0.0557  0.05
Schilhawsky 1960   22  0.6939  0.0012  0.1311  0.488  0.478  0.47
Shebanova 2002   20  0.7120  0.0129  0.0725  0.2819  0.4322  0.35
Smith 1975   25  0.6941  0.0013  0.108  0.4910  0.3216  0.40
Sokolov 2002   18  0.7286  0.0034  0.0728  0.2531  0.2731  0.26
Sztompka 1959   9  0.7517  0.0120  0.1312  0.4710  0.469  0.46
Tomsic 1995   21  0.7064  0.0040  0.0440  0.1538  0.1339  0.14
Uninsky 1932   71  0.4681  0.0030  0.0937  0.1634  0.2233  0.19
Uninsky 1971   37  0.6552  0.0022  0.1023  0.3222  0.4019  0.36
Wasowski 1980   41  0.6370  0.0028  0.0830  0.242  0.4126  0.31
Zak 1937   55  0.5655  0.0063  0.0466  0.0463  0.0461  0.04
Zak 1951   59  0.5444  0.0057  0.0465  0.0455  0.0562  0.04
Random 1   90  -0.1189  0.0090  0.0190  0.0179  0.0389  0.02
Random 2   89  -0.0674  0.0089  0.0289  0.0245  0.0578  0.03
Random 3   86  0.1490  0.0088  0.0288  0.0253  0.0581  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).